ℹ

For context: Diese Plattform nutzt Unified Memory – die "VRAM" ist gemeinsamer System-RAM (APU/Superchip); das Modell teilt sich den Speicher mit dem System.

Generation169,89tok/s

Prefill7.469,75tok/s

Time to First Token5.006,50ms

Total duration132,47s

Concurrency10parallel

Ranking in the field

This GPU All GPUs

442of 820 systems

Performance benchmark · Primary metric: Generation-Speed (tok/s) · 10× concurrent

This run is better than 46 % of all comparable systems.

Generation 169,9 tok/s

-65 % vs Ø 485,2

Prefill 7.469,8 tok/s

+60 % vs Ø 4.661,8

Time to First Token 5.007 ms

-92 % vs Ø 63.970

Distribution in the field0 – 2.491 tok/s

Ø 485 Median Dieser Lauf

Wie schlägt sich dieser Benchmark mit anderen Modellen?

gemma-4-E2B-itNVIDIA GeForce RTX 5090 · run-20260728-184455-e28775

2.491,2 tok/s

gemma-4-E2B-itNVIDIA RTX PRO 6000 Blackwell Workstation Edition · run-20260727-181606-b37ed9

2.414,4 tok/s

Nemotron-3-Nano-4BNVIDIA RTX PRO 6000 Blackwell Workstation Edition · run-20260727-181607-4cca42

2.182,7 tok/s

gemma-4-E2B-it3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition · run-20260728-184456-d87c73

2.143,6 tok/s

gpt-oss-20bNVIDIA RTX PRO 6000 Blackwell Workstation Edition · run-20260730-035052-9c966e

1.995,4 tok/s

gpt-oss-20bNVIDIA RTX PRO 6000 Blackwell Workstation Edition · run-20260728-140954-8007c4

1.993,5 tok/s

Nemotron-3-Nano-4B3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition · run-20260728-194136-0aed86

1.937,7 tok/s

Nemotron-3-Nano-4B3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition · run-20260728-194136-8db0fa

1.911,6 tok/s

Nemotron-3-Nano-4B3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition · run-20260727-181606-e0eafd

1.897,0 tok/s

gpt-oss-20bNVIDIA GeForce RTX 5090 · run-20260729-032121-7c961d

1.890,7 tok/s

Nemotron-3-Nano-4BNVIDIA GeForce RTX 5090 · run-20260728-194135-2ed9dd

1.878,7 tok/s

gpt-oss-20b3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition · run-20260728-034052-26063b

1.835,7 tok/s

Nemotron-3-Nano-4B3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition · run-20260728-194136-a77046

1.830,3 tok/s

gpt-oss-20b3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition · run-20260729-032121-c6e7e0

1.819,5 tok/s

Qwen3-30B-A3B-Instruct-2507 this runNVIDIA GB10 · run-20260820-194812-a67646

169,9 tok/s

How does this benchmark compare on other GPUs?

Same model on different hardware · 10× concurrent · Generation (tok/s)

NVIDIA GeForce RTX 5090run-20260729-105335-2c186b

1.671,0 tok/s

NVIDIA RTX PRO 6000 Blackwell Workstation Editionrun-20260729-032122-3d6d17

1.658,1 tok/s

3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Editionrun-20260729-105342-54b04e

1.515,7 tok/s

3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Editionrun-20260729-105341-5cfa7f

1.507,5 tok/s

3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Editionrun-20260729-105341-7806d7

1.436,0 tok/s

NVIDIA RTX PRO 6000 Blackwell Workstation Editionrun-20260724-004604-860045

961,5 tok/s

NVIDIA GeForce RTX 5090run-20260723-045450-e8df4d

909,3 tok/s

NVIDIA GeForce RTX 3090 Tirun-20260729-060803-9dc48b

905,1 tok/s

NVIDIA GeForce RTX 3090 Tirun-20260724-004603-3aec22

901,9 tok/s

2× AMD Radeon PRO W7900 Dual Slotrun-20260818-134249-787b11

264,2 tok/s

2× AMD Radeon PRO W7900 Dual Slotrun-20260818-141454-d2fa2d

251,1 tok/s

AMD Radeon PRO W7900 Dual Slotrun-20260817-133237-ca9a7a

246,8 tok/s

NVIDIA GB10 this runrun-20260820-194812-a67646

169,9 tok/s

NVIDIA GeForce RTX 5070 Tirun-20260729-032127-c9386f

152,7 tok/s

Hardware

GPU: NVIDIA GB10 · 128 GB VRAM
CPU: NVIDIA Grace
RAM: 120 GB
Mainboard: ASUSTeK COMPUTER INC. GX10

Setup

Runtime: llama.cpp
Quantization: Q4_K_M
Driver: NVIDIA 590.48.01 / CUDA 13.1
Model: Qwen3-30B-A3B-Instruct-2507

Configuration

benchmark-konfiguration — run-20260820-194812-a67646

# LLM-Benchmark Konfiguration # Modell : Qwen3-30B-A3B-Instruct-2507 # Engine : llama.cpp # Run-ID : run-20260820-194812-a67646 # GPU : NVIDIA GB10 # CPU : NVIDIA Grace # RAM : 120 GB bench@llm-benchmark:~$ /home/godcore/llama.cpp/build/bin/llama-server \ -m Qwen_Qwen3-30B-A3B-Instruct-2507-Q4_K_M.gguf \ -ngl 999 \ -fa on \ -c 49152 \ -np 12

Engine?Die Inferenz-Software, die das Modell ausliefert (z.B. vLLM oder llama.cpp). Sie bestimmt Geschwindigkeit, unterstuetzte Modellformate und welche Parameter ueberhaupt verfuegbar sind.	llamacpp
Kontextlaenge?Maximale Anzahl Tokens (Eingabe + erzeugte Ausgabe zusammen), die das Modell pro Anfrage verarbeiten kann.	49152
Modellpfad?Pfad zur GGUF-Modelldatei, die geladen und ausgeliefert wird.	Qwen_Qwen3-30B-A3B-Instruct-2507-Q4_K_M.gguf
GPU-Layer?Anzahl der auf die GPU ausgelagerten Modell-Layer. Hoeher = mehr VRAM und schneller; der Rest laeuft auf der CPU. 999 = alles auf GPU.	999
fa	on
Kontext?Groesse des Kontextfensters in Token. 0 = der beim Training verwendete Kontext des Modells.	49152
np	12

All benchmarks of this model To leaderboard

Model comparison

Qwen3-30B-A3B-Instruct-2507 on various hardware

All published performance runs of this model – each bubble a variant: position = prefill (X) × generation (Y), bubble size = number of runs. Closer to the top right = faster. ★ Marked gold = this benchmark.

GPUby graphics card

NVIDIA GeForce RTX 5090 1.671,0 tok/sNVIDIA RTX PRO 6000 Blackwell Workstation Edition 1.658,1 tok/sNVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition 1.515,7 tok/sNVIDIA GeForce RTX 3090 Ti 905,1 tok/sAMD Radeon PRO W7900 Dual Slot 264,2 tok/s★ NVIDIA GB10 (DGX Spark) 169,9 tok/s this runNVIDIA GeForce RTX 5070 Ti 152,7 tok/sIntel Arc Pro B70 143,6 tok/sAMD Radeon 8060S Graphics 107,6 tok/sAMD Radeon AI PRO R9700 97,6 tok/sCPU-only 7,1 tok/s

CPUby processor

AMD Ryzen 7 5800X3D 8-Core Processor 1.671,0 tok/sAMD Ryzen 9 9950X 16-Core Processor 1.658,1 tok/sAMD Ryzen Threadripper PRO 9965WX 24-Cores 1.515,7 tok/sAMD Ryzen 9 8945HX with Radeon Graphics 905,1 tok/sAMD Ryzen Threadripper PRO 5975WX 32-Cores 264,2 tok/s★ NVIDIA Grace 169,9 tok/s this runAMD Ryzen 9 7945HX with Radeon Graphics 143,6 tok/sAMD RYZEN AI MAX+ 395 w/ Radeon 8060S 107,6 tok/sAMD Ryzen Threadripper PRO 7955WX 16-Cores 97,6 tok/sIntel(R) Xeon(R) CPU E5-4620 v2 @ 2.60GHz 7,1 tok/s

MBby mainboard

ASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING 1.671,0 tok/sASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI 1.658,1 tok/sASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE 1.515,7 tok/sMeigao Innovation Technology (Shen Zhen) Co., Ltd DRFXL (MotherBoard Series) 905,1 tok/sASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI 264,2 tok/s★ ASUSTeK COMPUTER INC. GX10 169,9 tok/s this runShenzhen Meigao Electronic Equipment Co.,Ltd DRFXI (MotherBoard Series) 143,6 tok/sBosgame AXB35-02 (BeyondMax Series) 107,6 tok/sDell Inc. PowerEdge R820 7,1 tok/s

ENGby engine

★ llama.cpp 1.671,0 tok/s this runvLLM 961,5 tok/sunbekannt 97,6 tok/s

DRVby driver

unbekannt 1.671,0 tok/s★ NVIDIA 590.48.01 / CUDA 13.1 169,9 tok/s this runIntel 26.18.38308.4 143,6 tok/sAMD 7.0.0-27-generic 97,6 tok/s

💰 Economics

Economics of this run

Operating cost, TCO and comparison with the next-best runs of the same model at identical concurrency (10× concurrent). Methodology →

⚙️ ConfigurationAll metrics and charts below follow these settings – based on a 24-month runtime.Save to URL Reset

⚡ Electricity price EUR/kWh

⚙️ System utilization 100 %

🖥️ Acquisition EUR

🔌 Idle 15 W

⚡ TDP 140 W

☁️ External LLM (API) show

Input €/1M Output €/1M Input per output token

Electricity0.30 EUR/kWh

Avg power (incl. idle)140 W estimated (TDP)GPU 140 W full load

Avg cost / hourEUR 0.042

Electricity / 1M tokensEUR 0.069

Token / kWh4.37M

Acquisition (system)EUR 5,800 partial priceGPU EUR 4,000 · RAM EUR 1,680 · PSU EUR 120

Electricity (2 years)–

TCO (2 years)EUR 6,536

Output tokens (2 years)10.72B

☁️ External LLM (API) – comparison

External LLM cost (2 years)–

Savings vs. external (2 years)–

All values above and the charts below take the configured system utilization into account: at X% the system generates only X% of the time, the rest it idles (15 W). Cost per hour drops (more idle), cost per token rises.

Cost over 2 years – electricity only

Cost over 2 years – incl. acquisition (TCO)

Speed vs. tokens per euro

Euro per 1M tokens

Comparison vs. API – economics per benchmark

	Qwen3-30B-A3B-Instruct-2507NVIDIA GB10 (DGX Spark)	Qwen3-30B-A3B-Instruct-2507NVIDIA GeForce RTX 5090	Qwen3-30B-A3B-Instruct-2507NVIDIA RTX PRO 6000 Blackwell Workstation Edition	Qwen3-30B-A3B-Instruct-25073x NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition
Electricity cost (24 mo.)	–	–	–	–
Acquisition cost	–	–	–	–
Total cost (TCO)	–	–	–	–
Generated tokens (24 mo.)	–	–	–	–
Token price via API	–	–	–	–
Break-even point (days)	–	–	–	–
Result (savings / extra cost)	–	–	–	–

NVIDIA GB10 (DGX Spark) · this run 170 tok/s NVIDIA GeForce RTX 5090 1,671 tok/s NVIDIA RTX PRO 6000 Blackwell Workstation Edition 1,658 tok/s 3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition 1,516 tok/s

Comparison with up to 3 next-best runs of this model at the same concurrency (at least one on different hardware). Power = GPU TDP + CPU (idle + 15 %) + board (estimated), acquisition = full system (GPU + CPU + board + RAM + PSU), prices = stored market prices.

Contributed by

Mario Alka Administrator

@marioalka

Ich bin Unternehmer, Softwareentwickler und KI-Enthusiast. Seit vielen Jahren entwickle ich Unternehmenssoftware und beschäftige mich inzwischen fast täglich mit lokalen LLMs, KI-Agenten und leistungsfähiger KI-Hardware.

Mit LLM-Benchmark.de möchte ich eine Plattform schaffen, auf der Modelle, GPUs und Agenten objektiv und reproduzierbar miteinander verglichen werden.