VRAM
16 GB
TDP
320 W
MSRP
$999
Perf/W
0.32 emb/s/W
Cost/1K tok
$0.10/M
Tested
2025-08-09
NVIDIA GeForce RTX 4080 Super 16GB hits 6900.0 emb/s on Embedding throughput, its strongest benchmarked workload (batch 1, 512-token context, 16GB VRAM, 320W TDP). It has 18 records across 10 workloads in our database, with a MyAI Rating of 9.0/10. Llama 3 70B Q4 needs ~40GB VRAM, so check the VRAM column before assuming feasibility.
NVIDIA GeForce RTX 4080 Super 16GB — Ada Lovelace refresh with 16GB GDDR6X at ~736 GB/s, 320W TDP. Faster-clocked 4080 with full AD103 die.
16GB caps at 13B-class full-GPU at Q4. 32B models require offload. Good for 7-13B daily drivers and image generation (SDXL, Flux). Worse $/VRAM than used 3090 at the same price point for pure LLM work. Better for mixed gaming+AI use.
NVIDIA GeForce RTX 4080 Super 16GB with 16GB VRAM at 320W TDP, scored across 10 workloads with 18 benchmark records.
Best workload
Embedding throughput
6900 emb/s
Quantization
FP16
1K context · batch 1
| Workload | Score | Quant | Context | σ | Status | Tested |
|---|---|---|---|---|---|---|
| Llama 3 8B Q4 llm | 102.0tok/s | Q4_K_M | 4K | ±3.4 | Curated Aggregate | 2025-08-09 |
| Mistral 7B llm | 118.0tok/s | Q4_K_M | 4K | , | Curated Aggregate | 2024-06-13 |
| SDXL image gen image | 16.0img/min | FP16 | , | , | Curated Aggregate | 2025-07-23 |
| Whisper transcription audio | 82.0x RT | FP16 | , | , | Curated Aggregate | 2025-03-22 |
| Qwen 2.5 14B llm | 68.0tok/s | Q4_K_M | 8K | , | Curated Aggregate | 2024-11-13 |
| DeepSeek-R1 7B llm | 98.0tok/s | Q4_K_M | 8K | , | Curated Aggregate | 2025-02-15 |
| Gemma 2 9B llm | 86.0tok/s | Q4_K_M | 8K | , | Curated Aggregate | 2024-08-09 |
| Phi-3 Mini llm | 215.0tok/s | Q4_K_M | 4K | , | Curated Aggregate | 2025-03-16 |
| Embedding throughput embedding | 6900.0emb/s | FP16 | 1K | , | Curated Aggregate | 2024-09-16 |
| Asure 12B llm | 59.0tok/s | Q4_K_M | 8K | ±3.0 | Curated Aggregate | 2025-05-01 |
NVIDIA GeForce RTX 4080 Super 16GB clears a 9.0/10 based on workload-normalized throughput, memory headroom, efficiency, value, trust, and coverage.
What models fit this 16GB card at different quantization levels.
Trust score
6/10
MyAI rating
9.0
Runs
1
Freshness
Stale
Source-linked row with explicit verification status.
Tested on 2024-09-16; 710 days old.
Best place to start
Retailer we'd check first
Amazon search
For mainstream AI hardware, Amazon usually updates street pricing, seller availability, and shipping speed faster than most comparison sites.
Search Amazon listingsThis is one of the highest-scoring parts in our database, so it is worth tracking when inventory lands near fair-market pricing.
Affiliate note: we do not have a device-level ASIN yet, so this opens tagged Amazon search results for the exact product name.