Benchmark result
Ornith-1.5-35B-A3B-MLX-8bit on Apple M5 Max — 92.6 tok/s
Measured with oMLX 0.6.2 on August 19, 2026.
LLM / Model
LLM Quality Assessment
The response has a workable four-step structure and sensible dependency ordering, but it mixes planning with an ungrounded report and repeatedly acknowledges uncertainty instead of executing the stated workflow. Tool selection is weak because it relies on execute_code without clearly justifying actual data acquisition, and it incorrectly downplays the need for send_email only superficially. Error handling is present via backup ideas and cross-checking, but it remains generic and not fully operationalized.
Overall, this is a solid single-file Breakout implementation with mobile support, scoring, lives, restart, and canvas rendering. It is mostly complete and playable, but it diverges from the exact startup behavior and includes non-solution text, which is a significant prompt-compliance issue.
A strong, character-faithful opening that captures Aldwyn’s suspicion, grief, and hard-earned discipline with good sensory detail and natural dialogue. It is immersive and convincing, though it functions mainly as a first-turn response rather than a complete five-turn arc.
Strong, well-structured analysis with correct arithmetic, a defensible logarithmic scaling conclusion, and clear trade-off-based recommendations. The main weakness is that it appropriately flags but does not fully resolve major confounds from mixing model families and unknown evaluation methodology.
GPU Acceleration
Performance Metrics
Context Information
CPU & Memory
Operating System
Submission Details
8/19/2026, 9:38:26 PM
v0.4.36+97
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