winnow-12b
LM-STUDIO GGUFgemma4 · 12B · Q8_0
Nov 1, 2026 · AMD RYZEN AI MAX+ 395
phi4-mini:latest
OLLAMA GGUFphi3 · 3.8B · Q4_K_M
Jun 26, 2026 · Cortex-A78AE
Global Score
77 vs 74
Hardware Fit
38 vs 98
Quality Score
93 vs 63
Hardware
winnow-12b phi4-mini:latest
MachineGMKtec EVO-X3NVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUAMD RYZEN AI MAX+ 395Cortex-A78AE
Cores326
RAM120 GB7 GB
GPUAMD Radeon(TM) 8060S GraphicsIntegrated / Unknown
OSMicrosoft Windows 11 Pro 10.0.26300Ubuntu 22.04.5 LTS
Archx64arm64
Power Modebalancedbalanced
Performance
winnow-12b phi4-mini:latest
Tokens/sec12.918.4
First chunk19 ms1078 ms
TTFT9.7 s1.1 s
Load time86.2 s6.4 s
Memory usage51.3 GB2.9 GB
Memory %43%39%
HW Fit Score Breakdown
winnow-12b
Speed
11/50
TTFT
0/20
Memory
27/30
phi4-mini:latest
Speed
50/50
TTFT
20/20
Memory
28/30
Quality
winnow-12b
Reasoning
19/20
Coding
19/20
Instruction
18/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
phi4-mini:latest
Reasoning
13/20
Coding
11/20
Instruction
14/20
Structured
11/15
Math
5/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Adequate Math: Weak Multilingual: Strong
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