glm-4.7-flash on RTX 4090 (24GB) + AMD EPYC 75F3 32-Core Processor (64c) + 504GB
RTX 4090 (24GB) + AMD EPYC 75F3 32-Core Processor (64c) + 504GB
suite suite-v1
cli 0.0.3
signedBsJd7kJbLQ…
Embed badgesubmitted Jul 08, 2026Workload results
| Workload | Backend | Model | decode tok/s | prefill tok/s | TTFT | p50 | p95 |
|---|---|---|---|---|---|---|---|
| chat-short | ollama@0.31.1 | glm-4.7-flashQ4_K_M | — | — | — | — | — |
| chat-long | ollama@0.31.1 | glm-4.7-flashQ4_K_M | — | — | — | — | — |
| concurrent-decode | ollama@0.31.1 | glm-4.7-flashQ4_K_M | — | — | — | — | — |
| agent-trace | ollama@0.31.1 | glm-4.7-flashQ4_K_M | 129.9tok/s | 2,491.1tok/s | 1,262ms | 6.2ms | 11.5ms |
Reproduce on your machine
Same workload, same model, signed at your rig. The exact command that produced this run:
$ pipx install llm-speed && llm-speed bench --model 'glm-4.7-flash' --workload 'agent-trace'
Runs in about a minute. Your number lands on the leaderboard signed and linkable. How it's measured.
Embed this run
Drop the badge into a README, blog post, or signature. Each render is a backlink to the signed result.
[](https://llm-speed.com/r/r_o636l3cc-rr)Related benchmarks
- More glm-4.7-flash benchmarks — every backend and rig that has run this model.
- More RTX 4090 (24GB) LLM benchmarks — every model measured on this hardware.
Provenance
- Run ID
- r_o636l3cc-rr
- Fingerprint hash
- Public key
- BsJd7kJbLQjLlxdpBoKhCM7QlJ7qUzp2zJVk6uVa7s0=
- Received
- 2026-07-08 01:27:33