google/gemma-4-e4b
LM-STUDIO GGUFgemma4 · 7.9B · Q4_K_M
Oct 31, 2026 · AMD RYZEN AI MAX+ 395
llama3.2:latest
OLLAMA GGUFllama · 3.2B · Q4_K_M
Feb 28, 2026 · Apple M4 Pro
Global Score
81 vs 73
Hardware Fit
84 vs 100
Quality Score
79 vs 61
Hardware
google/gemma-4-e4b llama3.2:latest
MachineGMKtec EVO-X3Mac Mini
CPUAMD RYZEN AI MAX+ 395Apple M4 Pro
Cores3214
RAM120 GB64 GB
GPUAMD Radeon(TM) 8060S GraphicsApple M4 Pro
OSMicrosoft Windows 11 Pro 10.0.26300macOS 15.7.4
Archx64arm64
Power Modebalancedunknown
Performance
google/gemma-4-e4b llama3.2:latest
Tokens/sec47.398.9
First chunk23 msN/A
TTFT1.9 s125 ms
Load timeN/A2.3 s
Memory usage13.2 GB22.1 GB
Memory %11%35%
HW Fit Score Breakdown
google/gemma-4-e4b
Speed
44/50
TTFT
10/20
Memory
30/30
llama3.2:latest
Speed
40/50
TTFT
30/20
Memory
30/30
Quality
google/gemma-4-e4b
Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
llama3.2:latest
Reasoning
11/20
Coding
14/20
Instruction
12/20
Structured
12/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor 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