Contributed byMario AlkaGoogle gemma-4-E2B-it
Performance benchmark · measured on 22.09.2026 13:32
Benchmark-ID
run-20260922-115730-2d5902Timebench 3 - Kombi (Prefill + Generation)Dense5BRuntime: llama.cppQuantisierung: Q8_0
Generation465,47tok/s
Prefill8.434,77tok/s
Time to First Token2.408,00ms
Total duration51,09s
Concurrency10parallel
Ranking in the field
2of 24 systems
Performance benchmark · Primary metric: Generation-Speed (tok/s) · 10× concurrent
This run is better than 96 % of all comparable systems.
Generation
465,5 tok/s
+67 % vs Ø 278,5
Prefill
8.434,8 tok/s
+97 % vs Ø 4.281,9
Time to First Token
2.408 ms
-76 % vs Ø 9.999
Distribution in the field134 – 469 tok/s
Wie schlägt sich dieser Benchmark mit anderen Modellen?
Laguna-XS-2.1AMD Radeon RX 7900 XTX · run-20260922-123035-7c2c68
468,6 tok/s
gemma-4-E2B-it this runAMD Radeon RX 7900 XTX · run-20260922-115730-2d5902
465,5 tok/s
gemma-4-E2B-it same modelAMD Radeon RX 7900 XTX · run-20260922-115730-03c274
455,4 tok/s
Qwen3.5-35B-A3BAMD Radeon RX 7900 XTX · run-20260922-133638-2aaab2
447,0 tok/s
gpt-oss-20bAMD Radeon RX 7900 XTX · run-20260922-115731-cc656a
357,7 tok/s
gpt-oss-20bAMD Radeon RX 7900 XTX · run-20260922-115731-b7e80c
347,5 tok/s
Meta-Llama-3.1-8B-InstructAMD Radeon RX 7900 XTX · run-20260922-123035-15d692
321,7 tok/s
Gemma-4-26B-A4B-itAMD Radeon RX 7900 XTX · run-20260922-115730-10f1a9
315,5 tok/s
Qwen3-30B-A3B-Instruct-2507AMD Radeon RX 7900 XTX · run-20260922-133638-7178ba
314,0 tok/s
North-Mini-Code-1.0AMD Radeon RX 7900 XTX · run-20260922-130341-05199f
312,7 tok/s
Qwen3-30B-A3B-Thinking-2507AMD Radeon RX 7900 XTX · run-20260922-133638-ad3b8d
303,1 tok/s
Meta-Llama-3.1-8B-InstructAMD Radeon RX 7900 XTX · run-20260922-123035-cb4cbe
300,9 tok/s
Ornith-1.0-9BAMD Radeon RX 7900 XTX · run-20260922-133638-7b053b
242,4 tok/s
Ornith-1.0-9BAMD Radeon RX 7900 XTX · run-20260922-133638-874c06
237,3 tok/s
How does this benchmark compare on other GPUs?
Same model on different hardware · 10× concurrent · Generation (tok/s)
NVIDIA GeForce RTX 5090run-20260728-184455-e28775
2.491,2 tok/s
NVIDIA RTX PRO 6000 Blackwell Workstation Editionrun-20260727-181606-b37ed9
2.414,4 tok/s
3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Editionrun-20260728-184456-d87c73
2.143,6 tok/s
NVIDIA GeForce RTX 5070 Tirun-20260728-140953-875f2e
1.744,0 tok/s
NVIDIA GeForce RTX 5070 Tirun-20260727-090152-d5613d
1.743,1 tok/s
NVIDIA GeForce RTX 5070 Tirun-20260727-032758-bb6a92
1.608,5 tok/s
2× NVIDIA RTX A6000run-20260829-102814-5fd238
1.568,0 tok/s
NVIDIA GeForce RTX 3090 Tirun-20260727-142111-067e7e
1.492,8 tok/s
2× NVIDIA RTX A6000run-20260827-073158-73b96c
1.359,1 tok/s
NVIDIA RTX A6000run-20260826-190954-c9d261
1.122,5 tok/s
NVIDIA GB10run-20260729-224611-cc3776
903,3 tok/s
NVIDIA GB10run-20260729-224610-32ded2
860,9 tok/s
Intel Arc Pro B70run-20260729-224611-0989d2
826,2 tok/s
AMD Radeon PRO W7800 48GBrun-20260828-123128-d94027
702,9 tok/s
Hardware
GPU: AMD Radeon RX 7900 XTX · 24 GB VRAM
CPU: AMD Ryzen Threadripper PRO 3955WX 16-Cores
RAM: 63 GB
Mainboard: ASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI
Setup
Runtime: llama.cpp
Quantization: Q8_0
Model: gemma-4-E2B-it
Configuration
# LLM-Benchmark Konfiguration
# Modell : gemma-4-E2B-it
# Engine : llama.cpp
# Run-ID : run-20260922-115730-2d5902
# GPU : AMD Radeon RX 7900 XTX
# CPU : AMD Ryzen Threadripper PRO 3955WX 16-Cores
# RAM : 63 GB
bench@llm-benchmark:~$ llama-server \
-m /mnt/llmnas/gguf/gemma-4-E2B-it-Q8_0/google_gemma-4-E2B-it-Q8_0.gguf \
--alias gemma-4-E2B-it \
-ngl 999 \
-fa on \
-c 49152 \
-np 12 '(AMD' Radeon RX 7900 XTX, ROCm '7.2.4)'
| 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-E2B-it |
| 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. | /mnt/llmnas/gguf/gemma-4-E2B-it-Q8_0/google_gemma-4-E2B-it-Q8_0.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 |
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Model comparison
gemma-4-E2B-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 GeForce RTX 5090 2.491,2 tok/sNVIDIA RTX PRO 6000 Blackwell Workstation Edition 2.414,4 tok/sNVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition 2.143,6 tok/sNVIDIA GeForce RTX 5070 Ti 1.744,0 tok/sNVIDIA RTX A6000 1.568,0 tok/sNVIDIA GeForce RTX 3090 Ti 1.492,8 tok/sNVIDIA GB10 (DGX Spark) 903,3 tok/sIntel Arc Pro B70 826,2 tok/sAMD Radeon PRO W7800 48GB 702,9 tok/s★ AMD Radeon RX 7900 XTX 465,5 tok/s this runAMD Radeon AI PRO R9700 427,8 tok/sNVIDIA Tesla V100 PCIe 32GB 361,8 tok/sNVIDIA GeForce RTX 2060 54,7 tok/s
CPUby processor
AMD Ryzen 7 5800X3D 8-Core Processor 2.491,2 tok/sAMD Ryzen 9 9950X 16-Core Processor 2.414,4 tok/sAMD Ryzen Threadripper PRO 9965WX 24-Cores 2.143,6 tok/sAMD Ryzen Threadripper PRO 5975WX 32-Cores 1.744,0 tok/sAMD Ryzen Threadripper PRO 7955WX 16-Cores 1.568,0 tok/sAMD Ryzen 9 8945HX with Radeon Graphics 1.492,8 tok/sNVIDIA Grace 903,3 tok/sAMD Ryzen 9 7945HX with Radeon Graphics 826,2 tok/s★ AMD Ryzen Threadripper PRO 3955WX 16-Cores 465,5 tok/s this runAMD Ryzen 5 5600X 6-Core Processor 451,1 tok/sAMD Ryzen 3 3100 4-Core Processor 427,8 tok/sAMD Ryzen 3 PRO 3200GE w/ Radeon Vega Graphics 361,8 tok/sIntel(R) Xeon(R) CPU E5-4657L v2 @ 2.40GHz 54,7 tok/sIntel(R) Core(TM) i5-7400 CPU @ 3.00GHz 15,3 tok/s
MBby mainboard
ASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING 2.491,2 tok/sASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI 2.414,4 tok/sASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE 2.143,6 tok/s★ ASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI 1.744,0 tok/s this runMeigao Innovation Technology (Shen Zhen) Co., Ltd DRFXL (MotherBoard Series) 1.492,8 tok/sASUSTeK COMPUTER INC. GX10 903,3 tok/sShenzhen Meigao Electronic Equipment Co.,Ltd DRFXI (MotherBoard Series) 826,2 tok/sASUSTeK COMPUTER INC. PRIME A520M-K 451,1 tok/sASUSTeK COMPUTER INC. ROG STRIX X570-F GAMING 427,8 tok/sDell Inc. PowerEdge R820 54,7 tok/sASRock H110 Pro BTC+ 15,3 tok/s
DRVby driver
unbekannt 2.491,2 tok/sNVIDIA 590.48.01 / CUDA 13.1 903,3 tok/sIntel 26.18.38308.4 826,2 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 URLReset
⚡ Electricity price
EUR/kWh
⚙️ System utilization
100 %
🖥️ Acquisition
EUR
🔌 Idle
10 W
⚡ TDP
365 W
☁️ External LLM (API)
Electricity0.30 EUR/kWh
Avg power (incl. idle)365 W estimated (TDP)GPU 355 + Board 10 W full load
Avg cost / hourEUR 0.11
Electricity / 1M tokensEUR 0.065
Token / kWh4.59M
Acquisition (system)EUR 1,703 partial priceGPU EUR 1,049 · RAM EUR 504 · PSU EUR 150
Electricity (2 years)–
TCO (2 years)EUR 3,621
Output tokens (2 years)29.36B
☁️ 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 (10 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-E2B-itAMD Radeon RX 7900 XTX | gemma-4-E2B-itNVIDIA GeForce RTX 5090 | gemma-4-E2B-itNVIDIA RTX PRO 6000 Blackwell Workstation Edition | gemma-4-E2B-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) | – | – | – | – |
AMD Radeon RX 7900 XTX · this run 465 tok/sNVIDIA GeForce RTX 5090 2,491 tok/sNVIDIA RTX PRO 6000 Blackwell Workstation Edition 2,414 tok/s3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition 2,144 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.