# LLM-Benchmark Konfiguration # Modell : Nemotron-H-47B-Reasoning-128K # Engine : llama.cpp # Run-ID : run-20260916-182929-00f4d4 # GPU : 2x NVIDIA GeForce RTX 2060 # CPU : 4x Intel(R) Xeon(R) CPU E5-4657L v2 @ 2.40GHz # RAM : 504 GB bench@llm-benchmark:~$ llama-server \ -m nvidia_Nemotron-H-47B-Reasoning-128K-Q4_K_M.gguf Q4_K_M RAM-Offload '(dense,' ngl=20, 503GB DDR3, 2x RTX '2060)'

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
Modellpfad?Pfad zur GGUF-Modelldatei, die geladen und ausgeliefert wird.	nvidia_Nemotron-H-47B-Reasoning-128K-Q4_K_M.gguf

All benchmarks of this model To leaderboard

Model comparison

Nemotron-H-47B-Reasoning-128K 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 Max-Q Workstation Edition 203,5 tok/sNVIDIA GeForce RTX 5090 197,2 tok/sNVIDIA RTX PRO 6000 Blackwell Workstation Edition 174,9 tok/sNVIDIA RTX A6000 88,1 tok/sAMD Radeon AI PRO R9700 28,1 tok/sNVIDIA GeForce RTX 5070 Ti 20,4 tok/sNVIDIA GeForce RTX 3090 Ti 16,9 tok/sAMD Radeon 8060S Graphics 10,7 tok/s★ NVIDIA GeForce RTX 2060 1,1 tok/s this run

CPUby processor

AMD Ryzen Threadripper PRO 9965WX 24-Cores 203,5 tok/sAMD Ryzen 7 5800X3D 8-Core Processor 197,2 tok/sAMD Ryzen 9 9950X 16-Core Processor 174,9 tok/sAMD Ryzen Threadripper PRO 7955WX 16-Cores 88,1 tok/sAMD Ryzen Threadripper PRO 5975WX 32-Cores 20,4 tok/sAMD Ryzen 9 8945HX with Radeon Graphics 16,9 tok/sAMD RYZEN AI MAX+ 395 w/ Radeon 8060S 10,7 tok/s★ Intel(R) Xeon(R) CPU E5-4657L v2 @ 2.40GHz 1,1 tok/s this run

MBby mainboard

ASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE 203,5 tok/sASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING 197,2 tok/sASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI 174,9 tok/sASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI 20,4 tok/sMeigao Innovation Technology (Shen Zhen) Co., Ltd DRFXL (MotherBoard Series) 16,9 tok/sBosgame AXB35-02 (BeyondMax Series) 10,7 tok/s★ Dell Inc. PowerEdge R820 1,1 tok/s this run

ENGby engine

★ llama.cpp 203,5 tok/s this run

DRVby driver

unbekannt 203,5 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 55 W

⚡ TDP 359 W

☁️ External LLM (API) show

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

Electricity0.30 EUR/kWh

Avg power (incl. idle)359 W estimated (TDP)GPU 320 + CPU 29 + Board 10 W full load

Avg cost / hourEUR 0.11

Electricity / 1M tokensEUR 26.69

Token / kWh11.24K

Acquisition (system)EUR 2,445 partial priceGPU EUR 220 · CPU EUR 59 · RAM EUR 2,016 · PSU EUR 150

Electricity (2 years)–

TCO (2 years)EUR 4,331

Output tokens (2 years)70.64M

☁️ 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 (55 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

	Nemotron-H-47B-Reasoning-128K2x NVIDIA GeForce RTX 2060	Nemotron-H-47B-Reasoning-128KNVIDIA GeForce RTX 5090	Nemotron-H-47B-Reasoning-128KNVIDIA RTX PRO 6000 Blackwell Workstation Edition	Nemotron-H-47B-Reasoning-128K3x 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× NVIDIA GeForce RTX 2060 · this run 1 tok/s NVIDIA GeForce RTX 5090 50 tok/s NVIDIA RTX PRO 6000 Blackwell Workstation Edition 49 tok/s 3× NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition 47 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.