NVIDIA TITAN Xp, AI & Machine Learning Benchmarks & Specs

12GB · AI Score 2.6/100 · anchored estimate vs 51 measured cards

2.6 AI Score Includes estimates

We have not run NVIDIA TITAN Xp on our bench. These figures are anchored estimates, interpolated per workload against the 51 GPUs we did measure. On Llama 3.1 8B (Q4_K_M) NVIDIA TITAN Xp should deliver about 96.5 tokens/sec. Llama 3.3 70B does not fit. It needs roughly 42GB and this card has 12GB. For image generation, SDXL should run near 0.57 it/s, while FLUX.1-dev won't fit at BF16 (needs ~26GB). 8 of the 12 workloads won't fit on 12GB at the tested precision, Qwen3 32B, Llama 3.3 70B, Z-Image Turbo, FLUX.1-dev and others. We publish those as hard gates rather than quietly dropping to a smaller quant.

AI & Machine Learning benchmark results

Text Generation tok/s 5

Qwen3 4B149.2
Llama 3.1 8B96.5
Qwen2.5-Coder 14B50.3
WorkloadResultTelemetryData
Qwen3 4B149.2 tok/sestimatedEst.
Llama 3.1 8B96.5 tok/sestimatedEst.
Qwen2.5-Coder 14B50.3 tok/sestimatedEst.
Qwen3 32B✕ Won't fit VRAM-gated at this precisionEst.
Llama 3.3 70B✕ Won't fit VRAM-gated at this precisionEst.

Image Generation images/min 3

WorkloadResultTelemetryData
Stable Diffusion XL1.14 images/minestimatedEst.
Z-Image Turbo✕ Won't fit VRAM-gated at this precisionEst.
FLUX.1 dev✕ Won't fit VRAM-gated at this precisionEst.

Image Editing images/min 2

WorkloadResultTelemetryData
FLUX.1 Kontext dev✕ Won't fit VRAM-gated at this precisionEst.
Qwen-Image-Edit✕ Won't fit VRAM-gated at this precisionEst.

Video Generation frames/s 2

WorkloadResultTelemetryData
LTX-Video (distilled)✕ Won't fit VRAM-gated at this precisionEst.
Wan 2.2 5B (720p)✕ Won't fit VRAM-gated at this precisionEst.
How this estimate is derived. This card hasn’t been through our bench yet, so its numbers are anchored estimates, interpolated from the 51 first-party measured cards (LLM: bandwidth Theil-Sen ladder · diffusion/video: tensor-throughput ladder within architecture family · gates: realistic Q4/BF16 VRAM floors). The VRAM “won’t fit” gates are exact, since they’re pure capacity limits. Estimates are replaced with measured data as more silicon goes through the bench. Full methodology →

NVIDIA TITAN Xp specifications

ArchitecturePascal (GP102)
CUDA cores3,840
VRAM12GB GDDR5X
Memory bus384-bit
Memory bandwidth547.7 GB/s
Boost clock1,582 MHz
TDP250 W
Process16nm
InterfacePCIe 3.0 x16
Release date2017-04-05
Launch MSRP$1,200

Verdict, capable, but 12GB sets the ceiling

NVIDIA TITAN Xp scores 2.6/100, #74 of 102. It ran 4 of 12; 8 exceeded its 12GB. Figures are anchored estimates, not measurements, we flag that on every row.

Relative performance: where the NVIDIA TITAN Xp lands

100% = this card, AI & Machine Learning headline metric (AI Score). #35 of 61 desktop cards in this vertical.

GPURelative%AI Score
Intel Arc A770 Limited Edition
112%2.9
NVIDIA TITAN V
112%2.9
GeForce GTX 1080 Ti
100%2.6
NVIDIA GeForce RTX 3060
100%2.6
NVIDIA TITAN Xp
100%2.6
AMD Radeon RX 7700 XT
96%2.5
NVIDIA TITAN X (Pascal)
96%2.5
AMD Radeon RX 6700
88%2.3
NVIDIA GeForce RTX 3080
88%2.3

Same card, other workloads: NVIDIA TITAN Xp Gaming benchmarks

← All AI & Machine Learning GPU rankings

What this card can build

Whole-job timings, composed from our measured per-model results on this card.

WorkflowTimeEnergyBasis
Full codebase review19.9 minn/aestimate, 0 of 1 stage measured

Can't run: 60-second AI short film (needs Qwen3 32B), 60-second AI short film, narrated (needs Qwen3 32B), 10 short social clips (needs Qwen3 32B), 40-product photo shoot (needs FLUX.1 Kontext dev), 6-panel comic page (needs Qwen3 32B), 20 long-form articles (needs Llama 3.3 70B), Character sheet, 12 poses (needs FLUX.1 dev), 100-photo restoration batch (needs FLUX.1 Kontext dev), 24-frame storyboard (needs Qwen3 32B), 100-photo restore and enlarge (needs FLUX.1 Kontext dev).