Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark_report.json with huggingface_hub
Browse files
cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark_report.json
CHANGED
|
@@ -2,7 +2,7 @@
|
|
| 2 |
"forward": {
|
| 3 |
"memory": {
|
| 4 |
"unit": "MB",
|
| 5 |
-
"max_ram": 937.
|
| 6 |
"max_global_vram": null,
|
| 7 |
"max_process_vram": null,
|
| 8 |
"max_reserved": null,
|
|
@@ -11,59 +11,59 @@
|
|
| 11 |
"latency": {
|
| 12 |
"unit": "s",
|
| 13 |
"count": 29,
|
| 14 |
-
"total": 1.
|
| 15 |
-
"mean": 0.
|
| 16 |
-
"stdev": 0.
|
| 17 |
-
"p50": 0.
|
| 18 |
-
"p90": 0.
|
| 19 |
-
"p95": 0.
|
| 20 |
-
"p99": 0.
|
| 21 |
"values": [
|
| 22 |
-
0.
|
| 23 |
-
0.
|
| 24 |
-
0.
|
| 25 |
-
0.
|
| 26 |
-
0.
|
| 27 |
-
0.
|
| 28 |
-
0.
|
| 29 |
-
0.
|
| 30 |
-
0.
|
| 31 |
-
0.
|
| 32 |
-
0.
|
| 33 |
-
0.
|
| 34 |
-
0.
|
| 35 |
-
0.
|
| 36 |
-
0.
|
| 37 |
-
0.
|
| 38 |
-
0.
|
| 39 |
-
0.
|
| 40 |
-
0.
|
| 41 |
-
0.
|
| 42 |
-
0.
|
| 43 |
-
0.
|
| 44 |
-
0.
|
| 45 |
-
0.
|
| 46 |
-
0.
|
| 47 |
-
0.
|
| 48 |
-
0.
|
| 49 |
-
0.
|
| 50 |
-
0.
|
| 51 |
]
|
| 52 |
},
|
| 53 |
"throughput": {
|
| 54 |
"unit": "samples/s",
|
| 55 |
-
"value": 28.
|
| 56 |
},
|
| 57 |
"energy": {
|
| 58 |
"unit": "kWh",
|
| 59 |
-
"cpu": 1.
|
| 60 |
-
"ram":
|
| 61 |
"gpu": 0.0,
|
| 62 |
-
"total": 1.
|
| 63 |
},
|
| 64 |
"efficiency": {
|
| 65 |
"unit": "samples/kWh",
|
| 66 |
-
"value":
|
| 67 |
}
|
| 68 |
}
|
| 69 |
}
|
|
|
|
| 2 |
"forward": {
|
| 3 |
"memory": {
|
| 4 |
"unit": "MB",
|
| 5 |
+
"max_ram": 937.013248,
|
| 6 |
"max_global_vram": null,
|
| 7 |
"max_process_vram": null,
|
| 8 |
"max_reserved": null,
|
|
|
|
| 11 |
"latency": {
|
| 12 |
"unit": "s",
|
| 13 |
"count": 29,
|
| 14 |
+
"total": 1.0252021000001719,
|
| 15 |
+
"mean": 0.03535179655173006,
|
| 16 |
+
"stdev": 0.0018585449317606404,
|
| 17 |
+
"p50": 0.03603260200003433,
|
| 18 |
+
"p90": 0.03686585699997522,
|
| 19 |
+
"p95": 0.037266597199982245,
|
| 20 |
+
"p99": 0.03766964303998975,
|
| 21 |
"values": [
|
| 22 |
+
0.03782582200000206,
|
| 23 |
+
0.03609063999999762,
|
| 24 |
+
0.03605331100004605,
|
| 25 |
+
0.035014170000010836,
|
| 26 |
+
0.03593772499999659,
|
| 27 |
+
0.03618988700003456,
|
| 28 |
+
0.0359512699999982,
|
| 29 |
+
0.03612088800002766,
|
| 30 |
+
0.03604783100001896,
|
| 31 |
+
0.034670006999988345,
|
| 32 |
+
0.03676621299996441,
|
| 33 |
+
0.0355369160000123,
|
| 34 |
+
0.036157887000001665,
|
| 35 |
+
0.03726803999995809,
|
| 36 |
+
0.03550145000002658,
|
| 37 |
+
0.03588366400003906,
|
| 38 |
+
0.035515005000036126,
|
| 39 |
+
0.03636049499999672,
|
| 40 |
+
0.0361986629999933,
|
| 41 |
+
0.03603260200003433,
|
| 42 |
+
0.03558536700001014,
|
| 43 |
+
0.03654423800003315,
|
| 44 |
+
0.03726443300001847,
|
| 45 |
+
0.03608338599997296,
|
| 46 |
+
0.03420808499998884,
|
| 47 |
+
0.0312510310000107,
|
| 48 |
+
0.030570088999979816,
|
| 49 |
+
0.032109223999952974,
|
| 50 |
+
0.03046376100002135
|
| 51 |
]
|
| 52 |
},
|
| 53 |
"throughput": {
|
| 54 |
"unit": "samples/s",
|
| 55 |
+
"value": 28.28710553752781
|
| 56 |
},
|
| 57 |
"energy": {
|
| 58 |
"unit": "kWh",
|
| 59 |
+
"cpu": 1.1982839115540989e-06,
|
| 60 |
+
"ram": 5.007818293537721e-08,
|
| 61 |
"gpu": 0.0,
|
| 62 |
+
"total": 1.2483620944894761e-06
|
| 63 |
},
|
| 64 |
"efficiency": {
|
| 65 |
"unit": "samples/kWh",
|
| 66 |
+
"value": 801049.6348889502
|
| 67 |
}
|
| 68 |
}
|
| 69 |
}
|