glm-4.7-flash:bf16
OLLAMA GGUFdeepseek2 · 29.9B · F16
Jun 26, 2026 · Cortex-X925
lmstudio-community/gemma-4-26b-a4b-it
LM-STUDIO GGUFgemma4 · 26B · Q4_K_M
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
76 vs 81
Hardware Fit
73 vs 56
Quality Score
77 vs 91
Hardware
glm-4.7-flash:bf16 lmstudio-community…
MachineNVIDIA NVIDIA_DGX_SparkDocker Container
CPUCortex-X925Intel Gen Intel® Core™ i9-11900H
Cores2016
RAM122 GB15 GB
GPUDevice 2e12TigerLake-H GT1 [UHD Graphics]
OSUbuntu 24.04.4 LTSUbuntu 26.04 LTS
Archarm64x64
Power Modeperformanceperformance
Performance
glm-4.7-flash:bf16 lmstudio-community…
Tokens/sec25.89.9
First chunk605 ms145 ms
TTFT605 ms4.4 s
Load time44.2 s48.3 s
Memory usage57.0 GB5.6 GB
Memory %47%37%
HW Fit Score Breakdown
glm-4.7-flash:bf16
Speed
27/50
TTFT
20/20
Memory
26/30
lmstudio-community/gemm…
Speed
18/50
TTFT
10/20
Memory
28/30
Quality
glm-4.7-flash:bf16
Reasoning
13/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
lmstudio-community/gemm…
Reasoning
17/20
Coding
19/20
Instruction
18/20
Structured
14/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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