glm-4.7-flash:bf16

deepseek2 · 29.9B · F16

NVIDIA NVIDIA_DGX_Spark (Cortex-X925)

122 GB · Ubuntu 24.04.4 LTS

Tested on June 26, 2026

Top 39% Compare

Global Score

76 /100

Good

Hardware Fit

73/100

Quality

77/100

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Ollama

ollama pull glm-4.7-flash:bf16

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ollama.com/library/glm-4.7-flash

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GGUF versions & quantizations

Hardware

Machine: NVIDIA NVIDIA_DGX_Spark
CPU: Cortex-X925
Cores: 20 total (20 perf)
Frequency: 3.35 GHz
RAM: 122 GB
GPU: Device 2e12
OS: Ubuntu 24.04.4 LTS
Arch: arm64
Power Mode: performance

Performance

Tokens/sec Tokens generated per second — higher is better: 25.8
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.1
First chunk latency Delay before the first streamed chunk arrives from runtime: 605 ms
Time to first token How fast the model starts responding — lower is better: 605 ms
Load time Time to load the model into memory before inference: 44.2 s
Memory usage RAM consumed during inference — percentage of total system memory: 57.0 GB (47%)
Total tokens Total number of tokens generated across all benchmark prompts: 1027

Score breakdown

Speed

27/50

Time to first token

20/20

Memory

26/30

Quality

Reasoning

13/20

Coding

17/20

Instruction following

12/20

Structured output

15/15

Math

10/15

Multilingual

10/10

Category levels

Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.30.10
Model format: GGUF
Hardware profile: HIGH-END
Result hash: 51d656589b1d8583ab438938d37fa3338966d37ac33d46020a2a97225e79354b

Interpretation

Hardware fit: 73/100. Overall suitability: GOOD (Global 76/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Adequate, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

Thermal: nominal Swap delta: +0.0 GB CPU load: avg 15% (peak 33%)

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