Dell Precision 7680 Workstation

Products · · Laptop

Dell Precision 7680 Workstation

Chips
5 GPU options, from NVIDIA RTX 1000 Ada Generation Laptop GPU to NVIDIA RTX 5000 Ada Generation Laptop GPU
VRAM
6, 8, 12 or 16 GB
Released
2023

Product page (opens in a new tab) Full AI report

Configurations

Pick one to see which models it runs. More memory lets larger models fit; bandwidth sets how fast they answer.

Configuration Memory Usable for AI Bandwidth LLMs that run well Launch price
NVIDIA RTX 1000 Ada Generation Laptop GPU 6.0 GB 6.0 GB 192 GB/s 297 of 622 —
NVIDIA RTX 2000 Ada Generation Laptop GPU 8.0 GB 8.0 GB 256 GB/s 338 of 622 —
NVIDIA RTX 3500 Ada Generation Laptop GPU 12.0 GB 12.0 GB 432 GB/s 429 of 622 —
NVIDIA RTX 4000 Ada Generation Laptop GPU 12.0 GB 12.0 GB 432 GB/s 429 of 622 —
NVIDIA RTX 5000 Ada Generation Laptop GPU 16.0 GB 16.0 GB 576 GB/s 460 of 622 —

Specifications 6.0 GB configuration

MakerDell
TypeLaptop
ChipNVIDIA RTX 1000 Ada Generation Laptop GPU
Video memory (VRAM)6.0 GB
Usable for AI models6.0 GB
Memory bandwidth192 GB/s
FP16 compute12.1 TFLOPS
NotesMobile workstation with NVIDIA RTX professional graphics; each option below is a GPU you can configure. Listed on the NVIDIA Marketplace.
Product pagewww.dell.com (opens in a new tab)

Best LLMs for the Dell Precision 7680 Workstation 6.0 GB

Quality Model Quant Memory Speed Runs
67Good quality (B) · 67 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. Nemotron Labs Dory 1.0 4BNVIDIA Q6_K 4.6 GB 41.1 tok/s Runs great
65Good quality (B) · 65 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. Spark-X2.6 4BSparkLLM Q6_K 4.6 GB 39.8 tok/s Runs great
67Good quality (B) · 67 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. Nanbeige4.2 3BBOSS Zhipin (Nanbeige) Q6_K 5.8 GB 39.2 tok/s Runs welltight fit
66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. Nemotron 3.5 Bolt E4BNVIDIA Q4_K_M 5.9 GB 52.4 tok/s Runs welltight fit
64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. Gemma 4 E4BGoogle Q4_K_M 5.9 GB 52.4 tok/s Runs welltight fit
60Good quality (B) · 60 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. Gemma 4 E2BGoogle Q5_K_M 4.6 GB 84.7 tok/s Runs great
60Good quality (B) · 60 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.5 4BAlibaba Q5_K_M 4.5 GB 41.8 tok/s Runs great
60Good quality (B) · 60 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM5 2BOpenBMB Q8_0 3.9 GB 47.6 tok/s Runs great
65Good quality (B) · 65 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. MiMo V2.6 Distill Qwen 9BXiaomi Q3_K_M 5.8 GB 32.4 tok/s Runs welltight fit
60Good quality (B) · 60 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. TMax 4BAi2 Q6_K 4.6 GB 38.8 tok/s Runs great

Best Image models for the Dell Precision 7680 Workstation 6.0 GB

Quality Model Quant Memory Speed Runs
72Great quality (A) · 72 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. FLUX.2 [klein] 4BBlack Forest Labs Q4 GGUF 4.6 GB 5.3 s Runs greatencoder in RAM
84Great quality (A) · 84 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. FLUX 3 Image KleinBlack Forest Labs Q4 GGUF 5.7 GB 30 s Runs welltight fit · encoder in RAM
56Good quality (B) · 56 of 100: how capable the model is at FP8, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. DreamShaper XL v2 TurboLykon FP8 5.6 GB 4.9 s Runs welltight fit
82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. Z-Image TurboAlibaba (Tongyi) FP8 4.4 GB 12 s Runs greatCPU offload
82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. FLUX.2 [klein] 9BBlack Forest Labs FP8 5.6 GB 8.9 s Runs welltight fit · CPU offload
52Fair quality (C) · 52 of 100: how capable the model is at FP8, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. SDXL-Lightning (4-step)ByteDance FP8 5.6 GB 2.7 s Runs welltight fit

Best Video models for the Dell Precision 7680 Workstation 6.0 GB

Quality Model Quant Memory Speed Runs
35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. AnimateDiff v3 (SD 1.5)Shanghai AI Lab FP16 4.7 GB 84 s Runs great
50Fair quality (C) · 50 of 100: how capable the model is at FP16, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. LTX-Video 2BLightricks FP16 4.7 GB 2.3 min Runs greatCPU offload
44Fair quality (C) · 44 of 100: how capable the model is at FP8, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. CogVideoX 2BZhipu AI FP8 4.7 GB 4.9 min Runs wellCPU offload

Best Decision models for the Dell Precision 7680 Workstation 6.0 GB

Quality Model Quant Memory Speed Runs
86Excellent quality (A+) · 86 of 100: how capable the model is at F16, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking. Jina Reranker v3.5Jina AI F16 2.3 GB 50 ms Runs great
84Great quality (A) · 84 of 100: how capable the model is at F16, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking. Jina Reranker v3Jina AI F16 2.3 GB 50 ms Runs great
82Great quality (A) · 82 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. mxbai-rerank-large v2Mixedbread Q8_0 2.6 GB 107 ms Runs great
80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. FRIDA-DecisionsSber AI F16 2.4 GB 34 ms Runs great
80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. GLiNER2.5 DecideFastino F16 1.7 GB 22 ms Runs great
80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. Qwen3 Reranker 0.6BAlibaba F16 2.3 GB 50 ms Runs great
81Great quality (A) · 81 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. d1 3BLiquid AI Q6_K 3.5 GB 115 ms Runs great
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. zerank-1 smallZeroEntropy Q8_0 3.0 GB 119 ms Runs great

Other products with the NVIDIA RTX 1000 Ada Generation Laptop GPU

Spec sources

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.

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