# LLM-Benchmark Konfiguration # Modell : gemma-4-12B-it # Engine : vLLM # Run-ID : run-20260826-201356-091000 # GPU : NVIDIA RTX A6000 # CPU : AMD Ryzen Threadripper PRO 7955WX 16-Cores # RAM : 184 GB bench@llm-benchmark:~$ vllm serve \ --model gemma-4-12B-it

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.	vllm
Modellalias?Der Name, unter dem das Modell ueber die API angesprochen wird. Genau dieser Wert muss im Request-Feld 'model' stehen.	gemma-4-12B-it

All benchmarks of this model To leaderboard

Model comparison

gemma-4-12B-it 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 RTX PRO 6000 Blackwell Workstation Edition 1.104,3 tok/sNVIDIA GeForce RTX 5090 1.058,9 tok/sNVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition 1.041,8 tok/s★ NVIDIA RTX A6000 681,8 tok/s this runNVIDIA GeForce RTX 5070 Ti 677,5 tok/sNVIDIA GeForce RTX 3090 Ti 654,9 tok/sAMD Radeon PRO W7800 48GB 202,0 tok/sTesla V100-PCIE-32GB 186,2 tok/sNVIDIA GeForce RTX 2060 89,8 tok/sNVIDIA Tesla P100 PCIe 16GB 45,8 tok/s

CPUby processor

AMD Ryzen 9 9950X 16-Core Processor 1.104,3 tok/sAMD Ryzen 7 5800X3D 8-Core Processor 1.058,9 tok/sAMD Ryzen Threadripper PRO 9965WX 24-Cores 1.041,8 tok/s★ AMD Ryzen Threadripper PRO 7955WX 16-Cores 681,8 tok/s this runAMD Ryzen Threadripper PRO 5975WX 32-Cores 677,5 tok/sAMD Ryzen 9 8945HX with Radeon Graphics 654,9 tok/sAMD Ryzen 5 5600X 6-Core Processor 372,4 tok/sAMD Ryzen 3 PRO 3200GE w/ Radeon Vega Graphics 186,2 tok/sIntel(R) Core(TM) i5-7400 CPU @ 3.00GHz 89,8 tok/sAMD Ryzen 9 7945HX with Radeon Graphics 45,8 tok/s

MBby mainboard

ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI 1.104,3 tok/sASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING 1.058,9 tok/s★ ASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE 1.041,8 tok/s this runASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI 677,5 tok/sMeigao Innovation Technology (Shen Zhen) Co., Ltd DRFXL (MotherBoard Series) 654,9 tok/sASUSTeK COMPUTER INC. PRIME A520M-K 372,4 tok/sASUSTeK COMPUTER INC. ROG STRIX X570-F GAMING 186,2 tok/sASRock H110 Pro BTC+ 89,8 tok/sShenzhen Meigao Electronic Equipment Co.,Ltd F1FXM (DeskMini Series) 45,8 tok/s

ENGby engine

llama.cpp 1.104,3 tok/s★ vLLM 681,8 tok/s this run

DRVby driver

unbekannt 1.104,3 tok/s

💰 Economics

Economics of this run

Operating cost, TCO and comparison with the next-best runs of the same model at identical concurrency (1× 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 80 W

⚡ TDP 371 W

☁️ External LLM (API) show

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

Electricity0.30 EUR/kWh

Avg power (incl. idle)371 W estimated (TDP)GPU 300 + CPU 46 + Board 25 W full load

Avg cost / hourEUR 0.11

Electricity / 1M tokensEUR 0.74

Token / kWh404.54K

Acquisition (system)EUR 8,424 full priceGPU EUR 3,000 · CPU EUR 1,399 · Board EUR 1,299 · RAM EUR 2,576 · PSU EUR 150

Electricity (2 years)–

TCO (2 years)EUR 10,374

Output tokens (2 years)2.63B

☁️ 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 (80 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

	gemma-4-12B-itNVIDIA RTX A6000	gemma-4-12B-itNVIDIA GeForce RTX 5090	gemma-4-12B-itNVIDIA RTX PRO 6000 Blackwell Workstation Edition	gemma-4-12B-it3x 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 RTX A6000 · this run 42 tok/s NVIDIA GeForce RTX 5090 154 tok/s NVIDIA RTX PRO 6000 Blackwell Workstation Edition 152 tok/s 3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition 144 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.