node_12eae78d · 2026-09-27 22:10 UTC · Chrome on Android
First PowerVR D-Series on the network
The reference machine scores 1,000. This one delivers 0.14× its throughput.
This machine is at the low end.
BasicEnough to try small models, not to work with them.
358 points from Entry.
The network has 3 verified runs. This comparison opens at 10.
1 verified run in this class so far. The comparison opens once three others exist.
Holds its speed from start to finish.
Streaming loads. The path every token takes through the weights.
Streaming stores. KV-cache appends and activations.
Buffer to buffer. Read and write traffic together.
Scattered gathers. Embedding lookups and sparse access.
Dense matrix multiply. The arithmetic inside every layer.
Continuous load. What the machine holds once it heats up.
- Llama 3.2 3B3.2 GB≤ 15.6 tok/s
- Llama 3.1 8B6.4 GB≤ 6.2 tok/s
- Llama 3.3 70B45.9 GB≤ 0.7 tok/s
- Phi-410.7 GB≤ 3.4 tok/s
- Gemma 2 27B18.7 GB≤ 1.8 tok/s
- Qwen 2.5 32B22.2 GB≤ 1.5 tok/s
4-bit weights, 8K context. The ceiling is read throughput divided by the weights read per token; real runtimes land below it. Memory size is unknown for this device, so fit is not judged.
- Verified run+100
- First run on PowerVR D-Series+100
- Early data for this class+250
- Genesis wafer+500
Deep report
$XCOMP holdersEvery phase sample by sample, the spread between the 5th and 95th percentile, this run against its class median, and a full export.
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