# LLM-Benchmark Konfiguration # Modell : gpt-oss-20b # Engine : lmstudio-mlx # Run-ID : run-20261112-155836-d14bc8 # GPU : Keine GPU (CPU-only) # CPU : Apple M6 (unified CPU/GPU SoC, ARM64, AdvSIMD) # RAM : 24 GB bench@llm-benchmark:~$ lmstudio-mlx \ --model gpt-oss-20b

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.	lmstudio-mlx
Kontextlaenge?Maximale Anzahl Tokens (Eingabe + erzeugte Ausgabe zusammen), die das Modell pro Anfrage verarbeiten kann.	8192
execution_type	local

All benchmarks of this model To leaderboard

Model comparison

gpt-oss-20b 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 1.995,4 tok/sNVIDIA GeForce RTX 5090 1.890,7 tok/sNVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition 1.835,7 tok/sNVIDIA GeForce RTX 5070 Ti 1.210,3 tok/sNVIDIA GeForce RTX 3090 Ti 1.113,5 tok/sNVIDIA RTX A6000 703,8 tok/sNVIDIA GeForce RTX 3090 448,2 tok/sAMD Radeon RX 7900 XTX 357,7 tok/sAMD Radeon PRO W7900 Dual Slot 344,1 tok/sAMD Radeon AI PRO R9700 323,6 tok/sAMD Radeon PRO W7800 48GB 280,0 tok/sNVIDIA DGX SPARK (GB10) 233,3 tok/sNVIDIA Tesla V100 PCIe 32GB 206,6 tok/sNVIDIA RTX SPARK (N1X) 200,5 tok/sNVIDIA Tesla P100 PCIe 16GB 111,1 tok/sAMD Radeon 8060S Graphics 74,4 tok/s★ CPU-only 70,9 tok/s this run

CPUby processor

AMD Ryzen 9 9950X 16-Core Processor 1.995,4 tok/sAMD Ryzen 5 5600X 6-Core Processor 1.981,1 tok/sAMD Ryzen 7 5800X3D 8-Core Processor 1.890,7 tok/sAMD Ryzen Threadripper PRO 9965WX 24-Cores 1.835,7 tok/sAMD Ryzen Threadripper PRO 5975WX 32-Cores 1.210,3 tok/sAMD Ryzen 9 8945HX with Radeon Graphics 1.113,5 tok/sAMD Ryzen Threadripper PRO 7955WX 16-Cores 703,8 tok/sAMD Ryzen Threadripper PRO 3955WX 16-Cores 357,7 tok/sAMD Ryzen 3 3100 4-Core Processor 323,6 tok/sIntel(R) Xeon(R) CPU E5-4657L v2 @ 2.40GHz 247,3 tok/sNVIDIA Grace 233,3 tok/sAMD Ryzen 3 PRO 3200GE w/ Radeon Vega Graphics 206,6 tok/sNVIDIA RTX Spark N1X (6144-core GPU, 20-core CPU) 200,5 tok/sAMD Ryzen 9 7945HX with Radeon Graphics 111,1 tok/sAMD RYZEN AI MAX+ 395 w/ Radeon 8060S 74,4 tok/s★ Apple M6 (unified CPU/GPU SoC, ARM64, AdvSIMD) 53,1 tok/s this runApple M6 (unified CPU/GPU SoC) 34,8 tok/sIntel(R) Xeon(R) CPU E5-4620 v2 @ 2.60GHz 14,5 tok/s

MBby mainboard

ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI 1.995,4 tok/sASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING 1.981,1 tok/sASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE 1.835,7 tok/sASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI 1.210,3 tok/sMeigao Innovation Technology (Shen Zhen) Co., Ltd DRFXL (MotherBoard Series) 1.113,5 tok/sASUSTeK COMPUTER INC. PRIME A520M-K 572,1 tok/sASUSTeK COMPUTER INC. ROG STRIX X570-F GAMING 323,6 tok/sDell Inc. PowerEdge R820 247,3 tok/sASUSTeK COMPUTER INC. GX10 233,3 tok/sASUS H7607BA 200,5 tok/sShenzhen Meigao Electronic Equipment Co.,Ltd F1FXM (DeskMini Series) 111,1 tok/sMeigao Innovation Technology (Shen Zhen) Co., Ltd SHWSA (MS-S1 MAX) 74,4 tok/s★ Apple Mac mini 53,1 tok/s this run

ENGby engine

llama.cpp 1.995,4 tok/svLLM 1.443,9 tok/sunbekannt 147,8 tok/s★ lmstudio-mlx 53,1 tok/s this runOllama 34,8 tok/s

DRVby driver

unbekannt 1.995,4 tok/sNVIDIA 590.48.01 / CUDA 13.1 233,3 tok/sAMD 7.0.0-27-generic 147,8 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 %

🔌 Idle 0 W

⚡ TDP 10 W

☁️ External LLM (API) show

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

Electricity0.30 EUR/kWh

Avg power (incl. idle)0 W missing

Avg cost / hour–

Electricity / 1M tokens–

Token / kWh–

Acquisition (system)– partial price

Electricity (2 years)–

TCO (2 years)–

Output tokens (2 years)3.35B

☁️ External LLM (API) – comparison

External LLM cost (2 years)–

Savings vs. external (2 years)–

No power draw measured – values estimated from GPU TDP + CPU (idle + 15 %) + board.

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 (0 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

	gpt-oss-20bKeine GPU (CPU-only)	gpt-oss-20bNVIDIA GeForce RTX 5090	gpt-oss-20bNVIDIA RTX PRO 6000 Blackwell Workstation Edition	gpt-oss-20bNVIDIA GeForce RTX 5090
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)	–	–	–	–

Keine GPU (CPU-only) · this run 53 tok/s NVIDIA GeForce RTX 5090 405 tok/s NVIDIA RTX PRO 6000 Blackwell Workstation Edition 395 tok/s NVIDIA GeForce RTX 5090 389 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.