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.

Generation267,65tok/s

Prefill1.544,48tok/s

Time to First Token9.961,50ms

Total duration80,90s

Concurrency5parallel

Ranking in the field

This GPU All GPUs

234of 440 systems

Performance benchmark · Primary metric: Generation-Speed (tok/s) · 5× concurrent

This run is better than 47 % of all comparable systems.

Generation 267,7 tok/s

-33 % vs Ø 401,8

Prefill 1.544,5 tok/s

-73 % vs Ø 5.729,3

Time to First Token 9.962 ms

-55 % vs Ø 22.050

Distribution in the field0 – 1.349 tok/s

Ø 401 Median Dieser Lauf

Wie schlägt sich dieser Benchmark mit anderen Modellen?

gemma-4-E2B-itNVIDIA RTX PRO 6000 Blackwell Workstation Edition · run-20260727-181606-0adf6d

1.349,3 tok/s

gemma-4-E2B-itNVIDIA GeForce RTX 5090 · run-20260728-184455-5b4937

1.301,9 tok/s

gemma-4-E2B-it3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition · run-20260728-184456-4111a9

1.195,7 tok/s

NVIDIA-Nemotron-3-Nano-4BNVIDIA RTX PRO 6000 Blackwell Workstation Edition · run-20260727-181607-30d864

1.188,7 tok/s

NVIDIA-Nemotron-3-Nano-4BNVIDIA GeForce RTX 5090 · run-20260728-194135-5432cd

1.164,8 tok/s

gpt-oss-20bNVIDIA RTX PRO 6000 Blackwell Workstation Edition · run-20260728-140954-9e81f9

1.136,3 tok/s

gpt-oss-20bNVIDIA GeForce RTX 5090 · run-20260729-032121-058a31

1.113,5 tok/s

NVIDIA-Nemotron-3-Nano-4B3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition · run-20260728-194136-836a91

1.090,6 tok/s

NVIDIA-Nemotron-3-Nano-4B3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition · run-20260727-181606-8b381e

1.077,4 tok/s

NVIDIA-Nemotron-3-Nano-4B3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition · run-20260728-194136-b8a818

1.071,0 tok/s

NVIDIA-Nemotron-3-Nano-4B3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition · run-20260728-194136-038e92

1.051,1 tok/s

gpt-oss-20b3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition · run-20260729-032121-ffb18a

1.015,5 tok/s

NVIDIA-Nemotron-3-Nano-30B-A3BNVIDIA RTX PRO 6000 Blackwell Workstation Edition · run-20260729-032121-305ad6

1.007,8 tok/s

Nemotron-Cascade-2-30B-A3BNVIDIA RTX PRO 6000 Blackwell Workstation Edition · run-20260729-032120-4b8514

1.007,3 tok/s

gemma-4-E4B-it this run2× AMD Radeon Graphics · run-20260729-224611-e52687

267,7 tok/s

How does this benchmark compare on other GPUs?

Same model on different hardware · 5× concurrent · Generation (tok/s)

NVIDIA RTX PRO 6000 Blackwell Workstation Editionrun-20260727-181607-bf4219

914,3 tok/s

NVIDIA GeForce RTX 5090run-20260728-194134-c99575

892,6 tok/s

3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Editionrun-20260728-194135-9f323e

812,0 tok/s

3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Editionrun-20260728-194135-a13784

771,0 tok/s

NVIDIA GeForce RTX 5070 Tirun-20260727-032759-9ceaf4

616,0 tok/s

NVIDIA GeForce RTX 5070 Tirun-20260727-090152-24cf86

592,1 tok/s

NVIDIA GeForce RTX 3090 Tirun-20260727-142111-fb0084

542,6 tok/s

2× AMD Radeon Graphics this runrun-20260729-224611-e52687

267,7 tok/s

NVIDIA GB10run-20260729-224611-1ec61a

246,7 tok/s

NVIDIA GB10run-20260729-224611-f3c242

245,6 tok/s

3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Editionrun-20260728-194135-41b8d8

76,4 tok/s

3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Editionrun-20260727-181605-ec6d85

72,6 tok/s

Hardware

GPU: 2x AMD Radeon Graphics
CPU: AMD Ryzen 9 7945HX with Radeon Graphics
RAM: 29 GB
Mainboard: Shenzhen Meigao Electronic Equipment Co.,Ltd DRFXI (MotherBoard Series)

Setup

Runtime: llama.cpp
Quantization: Q4_K_M
Model: gemma-4-E4B-it

Configuration

benchmark-konfiguration — run-20260729-224611-e52687

# LLM-Benchmark Konfiguration # Modell : gemma-4-E4B-it # Engine : llama.cpp # Run-ID : run-20260729-224611-e52687 # GPU : 2x AMD Radeon Graphics # CPU : AMD Ryzen 9 7945HX with Radeon Graphics # RAM : 29 GB bench@llm-benchmark:~$ /root/llama.cpp/build/bin/llama-server \ -m /root/.cache/huggingface/hub/models--unsloth--gemma-4-E4B-it-GGUF/snapshots/bfc15c382204943c3a8fff0c750b94ae2364d7a3/gemma-4-E4B-it-Q4_K_M.gguf \ --alias gemma-4-E4B-it \ --host 0.0.0.0 \ --port 8000 \ -ngl 999 \ -c 16384 \ -np 4 \ --jinja

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
Modellalias?Der Name, unter dem das Modell ueber die API angesprochen wird. Genau dieser Wert muss im Request-Feld 'model' stehen.	gemma-4-E4B-it
Kontextlaenge?Maximale Anzahl Tokens (Eingabe + erzeugte Ausgabe zusammen), die das Modell pro Anfrage verarbeiten kann.	16384
Modellpfad?Pfad zur GGUF-Modelldatei, die geladen und ausgeliefert wird.	/root/.cache/huggingface/hub/models--unsloth--gemma-4-E4B-it-GGUF/snapshots/bfc15c382204943c3a8fff0c750b94ae2364d7a3/gemma-4-E4B-it-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
Kontext?Groesse des Kontextfensters in Token. 0 = der beim Training verwendete Kontext des Modells.	16384
np	4

All benchmarks of this model To leaderboard

Model comparison

gemma-4-E4B-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 1.758,6 tok/sNVIDIA GeForce RTX 5090 1.606,1 tok/sNVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition 1.423,3 tok/sNVIDIA GeForce RTX 5070 Ti 1.082,4 tok/sNVIDIA GeForce RTX 3090 Ti 983,7 tok/sNVIDIA GB10 (DGX Spark) 484,8 tok/s★ AMD Radeon Graphics 474,8 tok/s this run

CPUby processor

AMD Ryzen 9 9950X 16-Core Processor 1.758,6 tok/sAMD Ryzen 7 5800X3D 8-Core Processor 1.606,1 tok/sAMD Ryzen Threadripper PRO 9965WX 24-Cores 1.423,3 tok/sAMD Ryzen Threadripper PRO 5975WX 32-Cores 1.082,4 tok/sAMD Ryzen 9 8945HX with Radeon Graphics 983,7 tok/sNVIDIA Grace 484,8 tok/s★ AMD Ryzen 9 7945HX with Radeon Graphics 474,8 tok/s this run

MBby mainboard

ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI 1.758,6 tok/sASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING 1.606,1 tok/sASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE 1.423,3 tok/sASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI 1.082,4 tok/sMeigao Innovation Technology (Shen Zhen) Co., Ltd DRFXL (MotherBoard Series) 983,7 tok/sASUSTeK COMPUTER INC. GX10 484,8 tok/s★ Shenzhen Meigao Electronic Equipment Co.,Ltd DRFXI (MotherBoard Series) 474,8 tok/s this run

ENGby engine

★ llama.cpp 1.758,6 tok/s this runvLLM 1.022,8 tok/s

DRVby driver

unbekannt 1.758,6 tok/sNVIDIA 590.48.01 / CUDA 13.1 484,8 tok/s

💰 Economics

Economics of this run

Operating cost, TCO and comparison with the next-best runs of the same model at identical concurrency (5× 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)– missing

Electricity (2 years)–

TCO (2 years)–

Output tokens (2 years)16.88B

☁️ 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

	gemma-4-E4B-it2x AMD Radeon Graphics	gemma-4-E4B-itNVIDIA RTX PRO 6000 Blackwell Workstation Edition	gemma-4-E4B-itNVIDIA GeForce RTX 5090	gemma-4-E4B-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)	–	–	–	–

2× AMD Radeon Graphics · this run 268 tok/s NVIDIA RTX PRO 6000 Blackwell Workstation Edition 914 tok/s NVIDIA GeForce RTX 5090 893 tok/s 3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition 812 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.