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": 936.
|
6 |
"max_global_vram": null,
|
7 |
"max_process_vram": null,
|
8 |
"max_reserved": null,
|
@@ -10,58 +10,61 @@
|
|
10 |
},
|
11 |
"latency": {
|
12 |
"unit": "s",
|
13 |
-
"count":
|
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 |
]
|
50 |
},
|
51 |
"throughput": {
|
52 |
"unit": "samples/s",
|
53 |
-
"value":
|
54 |
},
|
55 |
"energy": {
|
56 |
"unit": "kWh",
|
57 |
-
"cpu": 1.
|
58 |
-
"ram": 5.
|
59 |
"gpu": 0.0,
|
60 |
-
"total": 1.
|
61 |
},
|
62 |
"efficiency": {
|
63 |
"unit": "samples/kWh",
|
64 |
-
"value":
|
65 |
}
|
66 |
}
|
67 |
}
|
|
|
2 |
"forward": {
|
3 |
"memory": {
|
4 |
"unit": "MB",
|
5 |
+
"max_ram": 936.955904,
|
6 |
"max_global_vram": null,
|
7 |
"max_process_vram": null,
|
8 |
"max_reserved": null,
|
|
|
10 |
},
|
11 |
"latency": {
|
12 |
"unit": "s",
|
13 |
+
"count": 30,
|
14 |
+
"total": 1.015696192000064,
|
15 |
+
"mean": 0.03385653973333547,
|
16 |
+
"stdev": 0.001469697670979787,
|
17 |
+
"p50": 0.03322631950001664,
|
18 |
+
"p90": 0.03648619119999239,
|
19 |
+
"p95": 0.0370382329000023,
|
20 |
+
"p99": 0.03744598686996596,
|
21 |
"values": [
|
22 |
+
0.033853768999961176,
|
23 |
+
0.03314028500000177,
|
24 |
+
0.033515050999994855,
|
25 |
+
0.034410511999965365,
|
26 |
+
0.0329758409999954,
|
27 |
+
0.03317969800002629,
|
28 |
+
0.033318184999984624,
|
29 |
+
0.033272941000006995,
|
30 |
+
0.032910578999974405,
|
31 |
+
0.03268686400002707,
|
32 |
+
0.03385047299997268,
|
33 |
+
0.03314438299997846,
|
34 |
+
0.035234050000042316,
|
35 |
+
0.033171208999988266,
|
36 |
+
0.03332266299997855,
|
37 |
+
0.03338856600004192,
|
38 |
+
0.033106142000008276,
|
39 |
+
0.03308047800004488,
|
40 |
+
0.03248763499999541,
|
41 |
+
0.03296645300002865,
|
42 |
+
0.033309710000025916,
|
43 |
+
0.03266016500003843,
|
44 |
+
0.03287766900001543,
|
45 |
+
0.032982242999992195,
|
46 |
+
0.036425759999985985,
|
47 |
+
0.03703007200005004,
|
48 |
+
0.03704490999996324,
|
49 |
+
0.03760980699996708,
|
50 |
+
0.03632215400000405,
|
51 |
+
0.03241792500000429
|
52 |
]
|
53 |
},
|
54 |
"throughput": {
|
55 |
"unit": "samples/s",
|
56 |
+
"value": 29.536391133775275
|
57 |
},
|
58 |
"energy": {
|
59 |
"unit": "kWh",
|
60 |
+
"cpu": 1.2575666109720868e-06,
|
61 |
+
"ram": 5.2555018484029204e-08,
|
62 |
"gpu": 0.0,
|
63 |
+
"total": 1.3101216294561158e-06
|
64 |
},
|
65 |
"efficiency": {
|
66 |
"unit": "samples/kWh",
|
67 |
+
"value": 763287.9096997584
|
68 |
}
|
69 |
}
|
70 |
}
|