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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Nov 1, 2026 · AMD RYZEN AI MAX+ 395

qwen2.5:72b

OLLAMA GGUF

qwen2 · 72.7B · Q4_K_M

Not Rec.

Jun 27, 2026 · Cortex-X925

Global Score
80 vs 75
Hardware Fit
83 vs 50
Quality Score
79 vs 86

Hardware

google/gemma-4-e4b qwen2.5:72b
MachineGMKtec EVO-X3NVIDIA NVIDIA_DGX_Spark
CPUAMD RYZEN AI MAX+ 395Cortex-X925
Cores3220
RAM120 GB122 GB
GPUAMD Radeon(TM) 8060S GraphicsDevice 2e12
OSMicrosoft Windows 11 Pro 10.0.26300Ubuntu 24.04.4 LTS
Archx64arm64
Power Modebalancedperformance

Performance

google/gemma-4-e4b qwen2.5:72b
Tokens/sec46.54.4
First chunk14 ms529 ms
TTFT1.9 s529 ms
Load time7.6 s49.7 s
Memory usage0.0 GB54.0 GB
Memory %0%44%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
43/50
TTFT
10/20
Memory
30/30

qwen2.5:72b

Speed
4/50
TTFT
20/20
Memory
26/30

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

qwen2.5:72b

Reasoning
19/20
Coding
19/20
Instruction
12/20
Structured
14/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
View google/gemma-4-e4b details | View qwen2.5:72b details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest