qwen2-57b:57B
OLLAMA GGUFqwen2moe · 57.4B · Q4_K_M
Aug 18, 2026 · Intel Core™ Ultra X7 358H
ornith-1.5:9b
OLLAMA GGUFqwen35 · 9.0B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
Global Score
67 vs 69
Hardware Fit
51 vs 95
Quality Score
74 vs 58
Hardware
qwen2-57b:57B ornith-1.5:9b
MachineGMKtec NucBox EVO-T2SMacBook Pro
CPUIntel Core™ Ultra X7 358HApple M1 Pro
Cores1610
RAM64 GB16 GB
GPUIntel(R) Arc(TM) B390 GPUApple M1 Pro
OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced
Performance
qwen2-57b:57B ornith-1.5:9b
Tokens/sec8.622.2
First chunk1573 ms341 ms
TTFT1.6 s341 ms
Load time29.0 s4.8 s
Memory usage32.8 GB7.1 GB
Memory %52%45%
HW Fit Score Breakdown
qwen2-57b:57B
Speed
10/50
TTFT
17/20
Memory
24/30
ornith-1.5:9b
Speed
49/50
TTFT
20/20
Memory
26/30
Quality
qwen2-57b:57B
Reasoning
13/20
Coding
14/20
Instruction
15/20
Structured
14/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
ornith-1.5:9b
Reasoning
19/20
Coding
15/20
Instruction
6/20
Structured
2/15
Math
15/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest