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prism-ml/bonsai-27b

LM-STUDIO GGUF

qwen35 · 27B · Q1_0

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Oct 31, 2026 · AMD RYZEN AI MAX+ 395

Global Score
81 vs 81
Hardware Fit
95 vs 84
Quality Score
75 vs 79

Hardware

prism-ml/bonsai-27b google/gemma-4-e4b
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHGMKtec EVO-X3
CPUAMD Ryzen 9 8940HXAMD RYZEN AI MAX+ 395
Cores3232
RAM15 GB120 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MAMD Radeon(TM) 8060S Graphics
OSMicrosoft Windows 11 Home Single Language 10.0.26200Microsoft Windows 11 Pro 10.0.26300
Archx64x64
Power Modebalancedbalanced

Performance

prism-ml/bonsai-27b google/gemma-4-e4b
Tokens/sec33.647.3
First chunk20 ms23 ms
TTFT409 ms1.9 s
Load timeN/AN/A
Memory usage5.3 GB13.2 GB
Memory %35%11%

HW Fit Score Breakdown

prism-ml/bonsai-27b

Speed
46/50
TTFT
20/20
Memory
29/30

google/gemma-4-e4b

Speed
44/50
TTFT
10/20
Memory
30/30

Quality

prism-ml/bonsai-27b

Reasoning
17/20
Coding
13/20
Instruction
13/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

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

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