Download silicon_profiling.json from dispatchAI/silicon-profiling-snapdragon865: direct link, hf CLI and curl.
- Browser
- Download file 2.21 kB
-
https://huggingface.co/datasets/dispatchAI/silicon-profiling-snapdragon865/resolve/main/silicon_profiling.json
- Command line
-
hf download hf://datasets/dispatchAI/silicon-profiling-snapdragon865/silicon_profiling.json
-
curl -L -o silicon_profiling.json https://huggingface.co/datasets/dispatchAI/silicon-profiling-snapdragon865/resolve/main/silicon_profiling.json
2.21 kB
| { | |
| "title": "dispatchAI Real-Device Silicon Profiling Report", | |
| "subtitle": "Snapdragon 865 (Kryo 585) — Samsung S20 FE 5G", | |
| "date": "2026-06-26", | |
| "hardware": { | |
| "chipset": "Qualcomm Snapdragon 865 (SM8250)", | |
| "codename": "kona", | |
| "process": "7nm TSMC", | |
| "cpu": "Kryo 585: 1x2.84GHz + 3x2.42GHz + 4x1.80GHz", | |
| "gpu": "Adreno 650", | |
| "npu": "Hexagon Tensor Accelerator", | |
| "memory": "8GB LPDDR5 (7.47GB total, 3-3.7GB available)", | |
| "device": "Samsung Galaxy S20 FE 5G (SM-G981V)", | |
| "android": "13" | |
| }, | |
| "device_specs": [ | |
| { | |
| "serial": "R3CN509PLHA", | |
| "model": "SM-G981V", | |
| "soc": "SM8250", | |
| "cores": 9, | |
| "ram_gb": 7.47, | |
| "ram_free_gb": 3.7 | |
| }, | |
| { | |
| "serial": "R3CN50A0HSV", | |
| "model": "SM-G981V", | |
| "soc": "SM8250", | |
| "cores": 9, | |
| "ram_gb": 7.47, | |
| "ram_free_gb": 3.37 | |
| }, | |
| { | |
| "serial": "R3CN50AXHWE", | |
| "model": "SM-G981V", | |
| "soc": "SM8250", | |
| "cores": 9, | |
| "ram_gb": 7.47, | |
| "ram_free_gb": 3.16 | |
| }, | |
| { | |
| "serial": "R3CN50AXQYE", | |
| "model": "SM-G981V", | |
| "soc": "SM8250", | |
| "cores": 9, | |
| "ram_gb": 7.47, | |
| "ram_free_gb": 3.12 | |
| }, | |
| { | |
| "serial": "R3CN50B2Z1Z", | |
| "model": "SM-G981V", | |
| "soc": "SM8250", | |
| "cores": 9, | |
| "ram_gb": 7.47, | |
| "ram_free_gb": 3.17 | |
| } | |
| ], | |
| "live_benchmarks": [ | |
| { | |
| "serial": "R3CN509PLHA", | |
| "model": "model.gguf (on-device)", | |
| "generation_tps": 10.9, | |
| "success": true, | |
| "notes": "Live benchmark, Jun 26 2026" | |
| } | |
| ], | |
| "known_benchmarks": [ | |
| { | |
| "model": "SmolLM2-135M fp16", | |
| "gen_tps": 18.3, | |
| "prompt_tps": 85.0 | |
| }, | |
| { | |
| "model": "Qwen2.5-0.5B Q4", | |
| "gen_tps": 9.8, | |
| "prompt_tps": 47.5 | |
| }, | |
| { | |
| "model": "Llama-3.2-1B fp16", | |
| "gen_tps": 6.5, | |
| "prompt_tps": 28.0 | |
| }, | |
| { | |
| "model": "TinyLlama-1.1B Q5", | |
| "gen_tps": 6.2, | |
| "prompt_tps": 26.5 | |
| }, | |
| { | |
| "model": "Qwen2.5-1.5B Q5", | |
| "gen_tps": 4.2, | |
| "prompt_tps": 18.0 | |
| }, | |
| { | |
| "model": "Gemma-2-2B Q5", | |
| "gen_tps": 3.0, | |
| "prompt_tps": 12.5 | |
| } | |
| ], | |
| "total_devices_connected": 39, | |
| "cost": "$0" | |
| } |