Calculate the TPS of the Xbox One X GPU on local AI models
Every model in our catalogue assessed against this card at the context length and minimum quality you choose. Speed is an estimate for a single request, calculated from this card's memory bandwidth and the size of each model once compressed.
Calculated for this card
679 models in our catalogue altogether
Largest model it holds
ERNIE-4.5-21B-A3B
21B · Q3_K_M · 77.0 tok/s
Fastest model
Gemma 3 QAT 1B
108 tok/s · 1B
Which AI models can run on a Xbox One X GPU?
Set the inputs, read the answer
More context means more memory for the conversation cache. Speed is for a fresh conversation and does not change with this setting.
Hides models that would only fit by being compressed below this point.
396 models match
Calculating| Quantisation | Fit | ||||||
|---|---|---|---|---|---|---|---|
|
108
tok/s
65–173 · low confidence |
Gemma 3 1B | 1B | Mar 2025 | 1.8 GB | 33k tokens | Q8_0 | Comfortable |
|
108
tok/s
65–173 · low confidence |
Gemma 3 QAT 1B | 1B | Apr 2025 | 1.8 GB | 33k tokens | Q8_0 | Comfortable |
|
108
tok/s
65–173 · low confidence |
HGRN 1B (WT 103) ≈ | 1B | Nov 2023 | 1.8 GB | 131k tokens ? | Q8_0 | Comfortable |
|
108
tok/s
65–173 · low confidence |
LLama 3..2 Typhoon 2 1B ≈ | 1B | Dec 2024 | 1.8 GB | 131k tokens ? | Q8_0 | Comfortable |
|
108
tok/s
65–173 · low confidence |
OLMo-1B ≈ | 1B | Feb 2024 | 1.8 GB | 131k tokens ? | Q8_0 | Comfortable |
|
108
tok/s
65–173 · low confidence |
Pythia-1b ≈ | 1B | Apr 2023 | 1.8 GB | 131k tokens ? | Q8_0 | Comfortable |
|
99.8
tok/s
60–160 · low confidence |
OpenELM-1.1B ≈ | 1.1B | May 2024 | 1.9 GB | 131k tokens ? | Q8_0 | Comfortable |
|
98.0
tok/s
59–157 · low confidence |
DeciCoder-1B ≈ | 1.1B | Aug 2023 | 1.9 GB | 131k tokens ? | Q8_0 | Comfortable |
|
98.0
tok/s
59–157 · low confidence |
SantaCoder ≈ | 1.1B | Jan 2023 | 1.9 GB | 131k tokens ? | Q8_0 | Comfortable |
|
98.0
tok/s
59–157 · low confidence |
TinyLlama-1.1B (1T token checkpoint) ≈ | 1.1B | Oct 2023 | 1.9 GB | 131k tokens ? | Q8_0 | Comfortable |
|
98.0
tok/s
59–157 · low confidence |
TinyLlama-1.1B (3T token checkpoint) ≈ | 1.1B | Oct 2023 | 1.9 GB | 131k tokens ? | Q8_0 | Comfortable |
|
89.9
tok/s
54–144 · low confidence |
EXAONE 4.0 (1.2B) ≈ | 1.2B | Jul 2025 | 2.0 GB | 131k tokens ? | Q8_0 | Comfortable |
|
89.9
tok/s
54–144 · low confidence |
MinerU2.5 ≈ | 1.2B | Sep 2025 | 2.0 GB | 131k tokens ? | Q8_0 | Comfortable |
|
89.9
tok/s
54–144 · low confidence |
Pleias 1.0 1.2B ≈ | 1.2B | Dec 2024 | 2.0 GB | 131k tokens ? | Q8_0 | Comfortable |
|
89.9
tok/s
54–144 · low confidence |
Pleias-RAG-1B ≈ | 1.2B | Apr 2025 | 2.0 GB | 131k tokens ? | Q8_0 | Comfortable |
|
87.7
tok/s
53–140 · low confidence |
Llama 3.2 1B | 1.2B | Sep 2024 | 2.2 GB | 131k tokens | Q8_0 | Comfortable |
|
86.4
tok/s
52–138 · low confidence |
DeepSeekMoE-16B | 16B | Jan 2024 | 10.0 GB | 4k tokens | Q4_K_M | Tight |
|
86.4
tok/s
52–138 · low confidence |
MiniCPM-1.2B ≈ | 1.2B | Jun 2024 | 2.0 GB | 131k tokens ? | Q8_0 | Comfortable |
|
82.9
tok/s
50–133 · low confidence |
DeepSeek Coder 1.3B ≈ | 1.3B | Jan 2024 | 2.1 GB | 131k tokens ? | Q8_0 | Comfortable |
|
82.9
tok/s
50–133 · low confidence |
DeepSeek-VL-1.3B ≈ | 1.3B | Mar 2024 | 2.1 GB | 131k tokens ? | Q8_0 | Comfortable |
|
82.9
tok/s
50–133 · low confidence |
DigiRL ≈ | 1.3B | Jun 2024 | 2.1 GB | 131k tokens ? | Q8_0 | Comfortable |
|
82.9
tok/s
50–133 · low confidence |
GLA Transformer 1.3B ≈ | 1.3B | Aug 2024 | 2.1 GB | 131k tokens ? | Q8_0 | Comfortable |
|
82.9
tok/s
50–133 · low confidence |
Janus 1.3B ≈ | 1.3B | Oct 2024 | 2.1 GB | 131k tokens ? | Q8_0 | Comfortable |
|
82.9
tok/s
50–133 · low confidence |
Kosmos-2.5 ≈ | 1.3B | Aug 2024 | 2.1 GB | 131k tokens ? | Q8_0 | Comfortable |
|
82.9
tok/s
50–133 · low confidence |
Otter ≈ | 1.3B | May 2023 | 2.1 GB | 131k tokens ? | Q8_0 | Comfortable |
Speeds are estimates for a single request — one conversation at a time — calculated from memory bandwidth, model size and quantisation. Real throughput varies with the inference runtime and its version. Figures published by hardware vendors measure many simultaneous requests and are much higher.
On record
Xbox One X GPU full specification
Everything on record for this board, ordered by how much it bears on running a language model rather than by how a spec sheet would list it. Memory comes first because it decides the outcome; the rest is context.
Memory
The two specifications that decide what this card can run and how quickly. Capacity sets which models fit; bandwidth sets how many tokens per second they produce once they do.
- Memory size
- 12 GB
- Memory bandwidth
- 326 GB/s
- Memory type
- GDDR5
- Memory bus width
- 384 bit
- Memory clock
- 1.7 GHz
The chip
Which processor is on the board and how it was manufactured. A smaller process size generally means more performance for the same power.
- Graphics processor
- Scorpio
- Architecture
- GCN 2.0
- Generation
- Console GPU(Microsoft)
- Foundry
- TSMC
- Process size
- 16 nm
- Transistors
- 7 billion
- Transistor density
- 19,500 K/mm²
- Die size
- 359 mm²
- Package
- BGA-2409
- Released
- 7 November 2017
Clock speeds
How fast the processor runs. Worth far less here than on a gaming benchmark: generating text is limited by memory bandwidth, so a higher clock barely moves the result.
- Base clock
- 1.17 GHz
- Boost clock
- 1.17 GHz
Processing units
What the chip contains. These drive graphics performance and matter mainly for processing a long prompt rather than for producing the answer.
- Shading units
- 2,560
- Texture mapping units
- 160
- Render output units
- 32
Theoretical performance
Peak arithmetic rates published for the board. These are ceilings that no real workload reaches, and generating text reaches a small fraction of them because it is limited by memory rather than arithmetic.
- Half precision (FP16)
- 6 TFLOPS
- Single precision (FP32)
- 6 TFLOPS
- Pixel rate
- 38 GPixel/s
- Texture rate
- 188 GTexel/s
The board
What it takes to physically install and power the card — the practical constraints that decide whether it fits the machine you already own.
- Power draw (TDP)
- 150 W
- Dimensions
- 300 mm × 60 mm
- Display outputs
- 1x HDMI 2.0b
Software support
Which graphics and compute interfaces the card supports. CUDA compute capability is the one that bears on inference: below 7.0 there are no tensor cores, and modern inference software falls back to slower code paths.
- DirectX
- 12.0
- Vulkan
- 1.1
- OpenCL
- 1.2
- Shader model
- 6.0
Listings
Where to buy a Xbox One X GPU
No vendor is currently listing this card. Listings come from vendors who publish them here directly — browse the vendor directory to see who is selling what.
What the numbers mean
Memory: the specification that decides everything
Memory
12 GB
Bandwidth
326 GB/s
Largest model
ERNIE-4.5-21B-A3B
12 GB of GDDR5 puts the Xbox One X GPU comfortably into small and mid-sized models, with roughly 10.8 GB usable once the driver overhead is taken out. The largest models are out of reach without splitting them.
The memory bus moves 326 GB/s across a 384-bit bus. That is the number that governs generation speed — arithmetic per byte read is small enough that the bus, not the cores, is what everything waits on.
That comes from a 1.7 GHz memory clock across the bus width above. Widening the bus and raising the clock are the two levers a manufacturer has, which is why a card with unremarkable cores can still generate quickly.
The practical ceiling is ERNIE-4.5-21B-A3B at 21B, held at Q3_K_M and running at roughly 77.0 tokens per second.
The chip and how it was built
The Xbox One X GPU is built on the Scorpio graphics processor, using AMD's GCN 2.0 architecture, as part of the Console GPU(Microsoft) generation.
The chip is manufactured by TSMC, on a 16 nm process, with a die measuring 359 mm², holding 7 billion transistors. A smaller process generally means more performance for the same power, though for language models it matters far less than the memory subsystem.
It was released in November 2017, roughly 8 years ago. Inference software support tends to follow hardware by a year or two, so a card of this age generally has mature, well-optimised code paths available to it.
Compute throughput, and why it matters less than it looks
FP16
6 TFLOPS
On paper the Xbox One X GPU reaches 6 TFLOPS at half precision and 6 TFLOPS at single precision. These are peak figures no real workload sustains, and generating text reaches only a small fraction of them — decoding is limited by memory rather than arithmetic, which is why a card can look enormously powerful here and still produce tokens at an ordinary rate.
Clocks run from 1.17 GHz at base to 1.17 GHz boosted. Worth far less here than on a gaming benchmark: raising the clock speeds up the arithmetic, and the arithmetic is not what generation is waiting on.
Cache and processing units
There are 2,560 shading units, 160 texture mapping units, and 32 render output units. These drive graphics workloads and contribute to prompt processing, but they sit idle for much of the time a model spends generating a reply.
Power, size and installation
Power draw
150 W
The Xbox One X GPU is rated at 150 W. Running a language model keeps a card busy in bursts rather than continuously — it draws hard while generating and idles between requests — so sustained draw over a working day is usually well below the rated figure.
measuring 300 mm long. Worth checking against the case and power supply already in the machine, since the largest cards need considerably more of both than a typical desktop provides.
The extremes
The largest AI models that run on a Xbox One X GPU
The biggest open-weight models that fit on this card, newest first. Each is shown at the best compression the card can hold.
The fastest AI models on a Xbox One X GPU
Where this card produces tokens quickest. Smaller models dominate here, because generating each token means reading the whole model out of memory once.
Step by step
How to work out the tokens per second of a Xbox One X GPU
You do not have to calculate anything by hand — the gputps.com calculator on this page has already worked it out for every model this card can hold. Reading off the answer takes six steps.
-
01
Find the model in the table
Every one of the 396 models this Xbox One X GPU runs is in the table above. Search narrows it by name or by size.
-
02
Match the context to your work
Longer conversations cost memory on top of the weights. With 12 GB to work in, that is frequently the difference between a model fitting and not.
-
03
Choose how far you will compress
Each model is shown at the best compression this card can hold. A minimum quality hides the ones that only fit by being squeezed further than you would accept.
-
04
Look at the range, not just the number
The figures are calculated, not measured. 108 tok/s on Gemma 3 QAT 1B is the fastest result on this card, and like every row it carries a range that reflects how much the runtime matters.
-
05
Check the headroom before you decide
Compare what each model needs with the 12 GB this card provides. Tight means it works today; comfortable means it still works when the conversation grows.
-
06
Check the same model from the other side
Each model page repeats this calculation for the whole catalogue. Worth a look before deciding: it shows what else runs the same model, and how the Xbox One X GPU compares.
Answers
Xbox One X GPU — common questions
What is the memory bandwidth of a Xbox One X GPU?
The Xbox One X GPU has 326 GB/s of memory bandwidth, across a 384-bit memory bus. This is the single best predictor of how fast it generates text, because producing each token means reading the entire model out of memory once.
What type of memory does a Xbox One X GPU use?
It uses GDDR5 clocked at 1.7 GHz. HBM types are found on datacentre accelerators and carry far more bandwidth than the GDDR used on desktop cards, which is why they generate tokens considerably faster at the same capacity.
Who makes the Xbox One X GPU?
The Xbox One X GPU is a AMD product, with the chip manufactured by TSMC, on a 16 nm process.
When was the Xbox One X GPU released?
The Xbox One X GPU was released in November 2017.
How much power does a Xbox One X GPU use?
The Xbox One X GPU has a rated board power of 150 W. Generating text draws hard in bursts and idles between requests, so average consumption over a working session is normally well below the rated figure.
What are the TFLOPS of a Xbox One X GPU?
The Xbox One X GPU is rated at 6 TFLOPS at half precision and 6 TFLOPS at single precision. These are peak arithmetic ceilings rather than achievable rates, and text generation reaches only a small fraction of them because it is limited by memory bandwidth instead.
Does the Xbox One X GPU support CUDA?
No. CUDA is NVIDIA-only, and the Xbox One X GPU is a AMD card. It runs language models through ROCm, Vulkan or Metal depending on the software, which are less mature than the CUDA path — our estimates apply a penalty for that.
Is the Xbox One X GPU good for running local AI models?
Its memory covers small and mid-sized models, though the largest are out of reach though its bandwidth means generation will feel slow on larger models. In total it runs 396 of the models we track. Whether that is enough depends entirely on which model you want — the table above answers that directly.
Can a Xbox One X GPU run a model that does not fit in its memory?
Offloading past the card's 12 GB is possible and usually a false economy: the system-memory portion is slow enough to dominate the result.
Would two Xbox One X GPU cards be twice as fast?
Pairing Xbox One X GPU cards buys headroom rather than pace: 24 GB of combined memory, at roughly the same generation speed as one.
What AI models can a Xbox One X GPU run?
396 of the 679 open-weight language models we track fit on a Xbox One X GPU and can be run locally on it. The table on this page lists every one, with the memory it needs, the quantisation it runs at and an estimated generation speed.
What is the largest AI model a Xbox One X GPU can run?
The largest model in our catalogue that fits on a Xbox One X GPU is ERNIE-4.5-21B-A3B at 21B parameters, compressed to Q3_K_M. It generates roughly 77.0 tokens per second and needs about 10.1 GB of the card's memory.
How many tokens per second does a Xbox One X GPU produce?
It depends on the model. On a Xbox One X GPU the fastest model we track is Gemma 3 QAT 1B at about 108 tokens per second, while larger models run proportionally slower because each token requires reading the whole model out of memory once. Speeds are estimates for a single conversation at a time.
Can a Xbox One X GPU run a 7B model?
Yes. For example a Xbox One X GPU runs DeepSeek Coder 6.7B at Q6_K, using about 9.9 GB of memory and generating around 23.4 tokens per second.
Can a Xbox One X GPU run a 13B model?
Yes. For example a Xbox One X GPU runs DeepSeekMoE-16B at Q4_K_M, using about 10.0 GB of memory and generating around 86.4 tokens per second.
How much memory does a Xbox One X GPU have?
A Xbox One X GPU has 12 GB of GDDR5 memory. Around a tenth of that is reserved by the inference runtime and the driver, leaving roughly 10.8 GB available for a model and its conversation.
The other direction
Looking at it from the other side?
This page starts from the hardware. If you already know which model you want and need to know what it takes to run it, start from the model instead.