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Contributed byMario AlkaNVIDIA

Nemotron-H-47B-Reasoning-128K

Performance benchmark · measured on 23.07.2026 18:42

Benchmark-IDrun-20260723-194447-85592f
Timebench 3 - Kombi (Prefill + Generation)Dense47BRuntime: llama.cppQuantisierung: Q4_K_M
For context: Diese Plattform nutzt Unified Memory – die "VRAM" ist gemeinsamer System-RAM (APU/Superchip); das Modell teilt sich den Speicher mit dem System.
Generation10,66tok/s
Prefill159,53tok/s
Time to First Token61.556,00ms
Total duration477,88s
Concurrency5parallel
Ranking in the field
16of 16 systems

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

This run is better than 0 % of all comparable systems.
Generation 10,7 tok/s
-88 % vs Ø 91,4
Prefill 159,5 tok/s
-84 % vs Ø 984,2
Time to First Token 61.556 ms
+105 % vs Ø 30.097
Distribution in the field11 – 327 tok/s
Ø 91 Median Dieser Lauf

Wie schlägt sich dieser Benchmark mit anderen Modellen?

How does this benchmark compare on other GPUs?

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

Hardware

GPU: AMD Radeon 8060S Graphics
CPU: AMD RYZEN AI MAX+ 395 w/ Radeon 8060S
RAM: 31 GB
Mainboard: Bosgame AXB35-02 (BeyondMax Series)

Setup

Runtime: llama.cpp
Quantization: Q4_K_M
Model: Nemotron-H-47B-Reasoning-128K

Configuration

benchmark-konfiguration — run-20260723-194447-85592f
# LLM-Benchmark Konfiguration # Modell : Nemotron-H-47B-Reasoning-128K # Engine : llama.cpp # Run-ID : run-20260723-194447-85592f # GPU : AMD Radeon 8060S Graphics # CPU : AMD RYZEN AI MAX+ 395 w/ Radeon 8060S # RAM : 31 GB bench@llm-benchmark:~$ /home/godcore/llama.cpp/build-rocm/bin/llama-server \ -m /home/godcore/models/dl/nvidia_Nemotron-H-47B-Reasoning-128K-Q4_K_M.gguf \ --host 0.0.0.0 \ --port 8000 \ --gpu-layers 99 \ --flash-attn on \ -c 26624 \ --parallel 12
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
Kontextlaenge?Maximale Anzahl Tokens (Eingabe + erzeugte Ausgabe zusammen), die das Modell pro Anfrage verarbeiten kann.26624
Modellpfad?Pfad zur GGUF-Modelldatei, die geladen und ausgeliefert wird./home/godcore/models/dl/nvidia_Nemotron-H-47B-Reasoning-128K-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.99
Flash Attention?FlashAttention fuer schnellere und speichersparende Attention. Wert on/off/auto je nach Build.on
Kontext?Groesse des Kontextfensters in Token. 0 = der beim Training verwendete Kontext des Modells.26624
Parallel?Anzahl paralleler Slots/Sequenzen, die der Server gleichzeitig bedient. Der Kontext wird auf die Slots aufgeteilt.12

All benchmarks of this model To leaderboard

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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

26219713165,60,003787561.134Prefill (tok/s)Generation (tok/s)NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition - 203,5 tok/s Generation, 892 tok/s Prefill, TTFT 25.009 ms (10 Laufe)NVIDIA RTX PRO 6000 B...NVIDIA GeForce RTX 5090 - 197,2 tok/s Generation, 547 tok/s Prefill, TTFT 32.881 ms (3 Laufe)NVIDIA GeForce RTX 50...NVIDIA RTX PRO 6000 Blackwell Workstation Edition - 174,9 tok/s Generation, 938 tok/s Prefill, TTFT 18.279 ms (3 Laufe)NVIDIA RTX PRO 6000 B...NVIDIA RTX A6000 - 88,1 tok/s Generation, 430 tok/s Prefill, TTFT 55.339 ms (15 Laufe)NVIDIA RTX A6000AMD Radeon AI PRO R9700 - 28,1 tok/s Generation, 174 tok/s Prefill, TTFT 129.957 ms (20 Laufe)AMD Radeon AI PRO R97...NVIDIA GeForce RTX 5070 Ti - 20,4 tok/s Generation, 168 tok/s Prefill, TTFT 134.329 ms (3 Laufe)NVIDIA GeForce RTX 50...NVIDIA GeForce RTX 3090 Ti - 16,9 tok/s Generation, 215 tok/s Prefill, TTFT 138.108 ms (3 Laufe)NVIDIA GeForce RTX 30...AMD Radeon 8060S Graphics - 10,7 tok/s Generation, 159 tok/s Prefill, TTFT 36.786 ms (2 Laufe) | DIESER LAUF★ AMD Radeon 8060S Grap...
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/s★ AMD Radeon 8060S Graphics 10,7 tok/s this run

CPUby processor

26219713165,60,003787561.134Prefill (tok/s)Generation (tok/s)AMD Ryzen Threadripper PRO 9965WX 24-Cores - 203,5 tok/s Generation, 892 tok/s Prefill, TTFT 25.009 ms (10 Laufe)AMD Ryzen Threadrippe...AMD Ryzen 7 5800X3D 8-Core Processor - 197,2 tok/s Generation, 547 tok/s Prefill, TTFT 32.881 ms (3 Laufe)AMD Ryzen 7 5800X3D 8...AMD Ryzen 9 9950X 16-Core Processor - 174,9 tok/s Generation, 938 tok/s Prefill, TTFT 18.279 ms (3 Laufe)AMD Ryzen 9 9950X 16-...AMD Ryzen Threadripper PRO 7955WX 16-Cores - 88,1 tok/s Generation, 284 tok/s Prefill, TTFT 97.978 ms (35 Laufe)AMD Ryzen Threadrippe...AMD Ryzen Threadripper PRO 5975WX 32-Cores - 20,4 tok/s Generation, 168 tok/s Prefill, TTFT 134.329 ms (3 Laufe)AMD Ryzen Threadrippe...AMD Ryzen 9 8945HX with Radeon Graphics - 16,9 tok/s Generation, 215 tok/s Prefill, TTFT 138.108 ms (3 Laufe)AMD Ryzen 9 8945HX wi...AMD RYZEN AI MAX+ 395 w/ Radeon 8060S - 10,7 tok/s Generation, 159 tok/s Prefill, TTFT 36.786 ms (2 Laufe) | DIESER LAUF★ AMD RYZEN AI MAX+ 395...
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/s★ AMD RYZEN AI MAX+ 395 w/ Radeon 8060S 10,7 tok/s this run

MBby mainboard

26219713165,60,003787561.134Prefill (tok/s)Generation (tok/s)ASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE - 203,5 tok/s Generation, 419 tok/s Prefill, TTFT 81.762 ms (45 Laufe)ASUSTeK COMPUTER INC....ASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING - 197,2 tok/s Generation, 547 tok/s Prefill, TTFT 32.881 ms (3 Laufe)ASUSTeK COMPUTER INC....ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI - 174,9 tok/s Generation, 938 tok/s Prefill, TTFT 18.279 ms (3 Laufe)ASUSTeK COMPUTER INC....ASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI - 20,4 tok/s Generation, 168 tok/s Prefill, TTFT 134.329 ms (3 Laufe)ASUSTeK COMPUTER INC....Meigao Innovation Technology (Shen Zhen) Co., Ltd DRFXL (MotherBoard Series) - 16,9 tok/s Generation, 215 tok/s Prefill, TTFT 138.108 ms (3 Laufe)Meigao Innovation Tec...Bosgame AXB35-02 (BeyondMax Series) - 10,7 tok/s Generation, 159 tok/s Prefill, TTFT 36.786 ms (2 Laufe) | DIESER LAUF★ Bosgame AXB35-02 (Bey...
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/s★ Bosgame AXB35-02 (BeyondMax Series) 10,7 tok/s this run

ENGby engine

224214203193183395411428445Prefill (tok/s)Generation (tok/s)llama.cpp - 203,5 tok/s Generation, 420 tok/s Prefill, TTFT 80.062 ms (59 Laufe) | DIESER LAUF★ llama.cpp
★ llama.cpp 203,5 tok/s this run

DRVby driver

224214203193183395411428445Prefill (tok/s)Generation (tok/s)unbekannt - 203,5 tok/s Generation, 420 tok/s Prefill, TTFT 80.062 ms (59 Laufe)unbekannt
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 (5× 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 18 W
⚡ TDP 120 W
☁️ External LLM (API)
Electricity0.30 EUR/kWh
Avg power (incl. idle)120 W estimated (TDP)GPU 120 W full load
Avg cost / hourEUR 0.036
Electricity / 1M tokensEUR 0.94
Token / kWh319.80K
Acquisition (system)EUR 7,054 partial priceGPU EUR 3,000 · Board EUR 3,500 · RAM EUR 434 · PSU EUR 120
Electricity (2 years)
TCO (2 years)EUR 7,685
Output tokens (2 years)672.35M
☁️ 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 (18 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-128KAMD Radeon 8060S GraphicsNemotron-H-47B-Reasoning-128KNVIDIA RTX PRO 6000 Blackwell Workstation EditionNemotron-H-47B-Reasoning-128KNVIDIA GeForce RTX 5090Nemotron-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)

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.