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Strata autonomous loop: RTX 3060 vs Mac Studio M3, first results

One model (Qwen3.8-Flash-Next IQ3_S), the same files and the same Strata version on two very different configurations. Data from the last 12 hours.

Configuration

Experiment layout

What is measured

Speed, last 12 hours

MetricRTX 3060Mac Studio M3
Log records33924012
Unique task repetitions23872497
Average output per task, tokens235228
Average task duration, s8.44.3
Aggregate generation speed, tok/s2853.4
Median generation speed, tok/s1945
Task IDRTX 3060, tok/sMac Studio M3, tok/s
A-me-00-04469
D-ea-00-0518
F-ha-01-01845
F-ha-02-01939
G-me-04916
H-ha-04-02048
J-ha-01-04467
K-ha-04-0932

Aggregate generation speed is about 1.9× higher on the Mac Studio. The raw model on the experiment PC reaches about 60 tok/s. Hermes generates faster but has a different workload, so a direct comparison would be misleading.

Speed: overall and by task

Answer quality: v1.8 and v1.9

MetricRTX 3060 v1.8Mac Studio v1.8RTX 3060 v1.9Mac Studio v1.9
Average score0.8820.8760.9380.944
Perfect answers, %68.965.279.677.9
Format compliance, %89.292.097.799.8
Difference Mac − RTX−0.006+0.006

Quality is near parity; the Mac wins on speed. From v1.8 to v1.9 the average score rose by 6.3% on the RTX 3060 and by 7.8% on the Mac Studio; the share of perfect answers also rose. Differences by category are still being analysed.

Answer quality, v1.8 and v1.9
Change from v1.8 to v1.9

Agent behaviour

Without being asked in the prompts, the agent began to estimate the token cost of its improvements and, in some versions, to optimise its processes to cut unnecessary token use.

Next

Data collected: 13,000 runs, 16,000 files, 1,000 log files. A demo of an analytical system is being built for deeper analysis of the results of this experiment.

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