Cohere
North-Mini-Code-1.0
Performancebenchmark · gemessen am 22.07.2026 20:40
Benchmark-ID
run-20260722-190202-9b5605Timebench 3 - Kombi (Prefill + Generation)Runtime: llama.cppQuantisierung: Q4_K_M
Generation87,33tok/s
Prefill3.233,80tok/s
Time to First Token648,00ms
Gesamtdauer16,30s
Concurrency1parallel
Einordnung im Feld
15von 140 Systemen
Performancebenchmark · Leitmetrik: Generation-Speed (tok/s)
Dieser Lauf ist besser als 90 % aller vergleichbaren Systeme.
Generation
87,3 tok/s
+112 % vs Ø 41,1
Prefill
3.233,8 tok/s
+16 % vs Ø 2.784,3
Time to First Token
648 ms
-80 % vs Ø 3.177
Verteilung im Feld1 – 148 tok/s
Wie schlägt sich dieser Benchmark?
gpt-oss-20b3× AMD Radeon AI PRO R9700 · run-20260722-165909-85f64f
147,8 tok/s
gpt-oss-20b3× AMD Radeon AI PRO R9700 · run-20260722-165909-637af7
143,9 tok/s
gpt-oss-20b3× AMD Radeon AI PRO R9700 · run-20260722-165909-65d35f
137,7 tok/s
Nemotron-Cascade-2-30B-A3B3× AMD Radeon AI PRO R9700 · run-20260722-181156-a273f2
107,9 tok/s
Nemotron-3-Nano-Omni-30B-A3B-Reasoning3× AMD Radeon AI PRO R9700 · run-20260722-182228-95c528
102,9 tok/s
gpt-oss-120b3× AMD Radeon AI PRO R9700 · run-20260722-165909-4e3ede
99,8 tok/s
Qwen3-30B-A3B-Instruct-25073× AMD Radeon AI PRO R9700 · run-20260722-165907-cc8f3f
97,6 tok/s
NVIDIA-Nemotron-3-Nano-4B3× AMD Radeon AI PRO R9700 · run-20260722-190202-45dc8e
93,4 tok/s
Qwen3-30B-A3B-Thinking-25073× AMD Radeon AI PRO R9700 · run-20260722-165908-5712c8
91,4 tok/s
Qwen3-30B-A3B-Instruct-25073× AMD Radeon AI PRO R9700 · run-20260722-165907-b20fe5
91,0 tok/s
Qwen3-VL-30B-A3B-Instruct3× AMD Radeon AI PRO R9700 · run-20260722-165908-4d91c3
89,8 tok/s
Qwen3-30B-A3B-Thinking-25073× AMD Radeon AI PRO R9700 · run-20260722-165908-40e052
88,6 tok/s
Qwen3-Coder-30B-A3B-Instruct3× AMD Radeon AI PRO R9700 · run-20260722-165907-0a4b43
88,2 tok/s
Qwen3-30B-A3B-Thinking-25073× AMD Radeon AI PRO R9700 · run-20260722-165907-83951d
87,8 tok/s
North-Mini-Code-1.0 dieser Lauf3× AMD Radeon AI PRO R9700 · run-20260722-190202-9b5605
87,3 tok/s
Hardware
GPU: 3x AMD Radeon AI PRO R9700 · 32 GB VRAM
CPU: 32x AMD Ryzen Threadripper PRO 7955WX 16-Cores
RAM: 184 GB
Setup
Runtime: llama.cpp
Quantisierung: Q4_K_M
Modell: North-Mini-Code-1.0
Konfiguration
# LLM-Benchmark Konfiguration
# Modell : North-Mini-Code-1.0
# Engine : llama.cpp
# Run-ID : run-20260722-190202-9b5605
# GPU : 3x AMD Radeon AI PRO R9700
# CPU : 32x AMD Ryzen Threadripper PRO 7955WX 16-Cores
# RAM : 184 GB
bench@llm-benchmark:~$ /src/build/bin/llama-server \
-m /root/.cache/huggingface/hub/models--unsloth--North-Mini-Code-1.0-GGUF/snapshots/e306bb4bf0df610f5471d97a01de2b6e0b24d356/North-Mini-Code-1.0-UD-Q4_K_M.gguf \
-ngl 999 \
-c 8192 \
-a North-Mini-Code-1.0 \
-sm layer \
--host 0.0.0.0 \
--port 8000
| Engine | llamacpp |
| Modellalias | North-Mini-Code-1.0 |
| Kontextlaenge | 8192 |
| Modellpfad | /root/.cache/huggingface/hub/models--unsloth--North-Mini-Code-1.0-GGUF/snapshots/e306bb4bf0df610f5471d97a01de2b6e0b24d356/North-Mini-Code-1.0-UD-Q4_K_M.gguf |
| GPU-Layer | 999 |
| Kontext | 8192 |
| Alias | North-Mini-Code-1.0 |
| Split-Mode | layer |