Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
46b826f
•
1 Parent(s): 3f494a4

Upload cpu_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark_report.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cpu_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark_report.json +36 -36
cpu_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 523.85792,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -11,31 +11,31 @@
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
- "total": 3.267754430999986,
15
- "mean": 3.267754430999986,
16
  "stdev": 0.0,
17
- "p50": 3.267754430999986,
18
- "p90": 3.267754430999986,
19
- "p95": 3.267754430999986,
20
- "p99": 3.267754430999986,
21
  "values": [
22
- 3.267754430999986
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 9.805114238889228e-06,
29
- "ram": 4.096248061645352e-07,
30
  "gpu": 0,
31
- "total": 1.0214739045053763e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 550.170624,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -44,42 +44,42 @@
44
  "latency": {
45
  "unit": "s",
46
  "count": 12,
47
- "total": 1.0544213150000417,
48
- "mean": 0.08786844291667013,
49
- "stdev": 0.006831341192737696,
50
- "p50": 0.09150113799998394,
51
- "p90": 0.09455179670000576,
52
- "p95": 0.09547657065000692,
53
- "p99": 0.09609845653000945,
54
  "values": [
55
- 0.0919530080000186,
56
- 0.09095099600000367,
57
- 0.09126968799998281,
58
- 0.09175563100001227,
59
- 0.09173258799998507,
60
- 0.09195040199998061,
61
- 0.09625392800001009,
62
- 0.09484055100000433,
63
- 0.07877594600000748,
64
- 0.0783564670000203,
65
- 0.07819724099999803,
66
- 0.0783848690000184
67
  ]
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
- "value": 11.380650058273458
72
  },
73
  "energy": {
74
  "unit": "kWh",
75
- "cpu": 3.0566821175213358e-06,
76
- "ram": 1.2780551447175287e-07,
77
  "gpu": 0.0,
78
- "total": 3.184487631993089e-06
79
  },
80
  "efficiency": {
81
  "unit": "samples/kWh",
82
- "value": 314022.2590138074
83
  }
84
  }
85
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 523.575296,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 3.373406009000007,
15
+ "mean": 3.373406009000007,
16
  "stdev": 0.0,
17
+ "p50": 3.373406009000007,
18
+ "p90": 3.373406009000007,
19
+ "p95": 3.373406009000007,
20
+ "p99": 3.373406009000007,
21
  "values": [
22
+ 3.373406009000007
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 1.042433548333261e-05,
29
+ "ram": 4.356198854095432e-07,
30
  "gpu": 0,
31
+ "total": 1.0859955368742154e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 552.5504,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
44
  "latency": {
45
  "unit": "s",
46
  "count": 12,
47
+ "total": 1.0668239350000022,
48
+ "mean": 0.08890199458333352,
49
+ "stdev": 0.0066174873925018375,
50
+ "p50": 0.09121536000000674,
51
+ "p90": 0.0936443459000003,
52
+ "p95": 0.09663883945000577,
53
+ "p99": 0.09951965189001101,
54
  "values": [
55
+ 0.09369255400000043,
56
+ 0.09168303900000296,
57
+ 0.09066251199999442,
58
+ 0.09271219199999337,
59
+ 0.09074768100001052,
60
+ 0.09321047299999918,
61
+ 0.09168980499998725,
62
+ 0.10023985500001231,
63
+ 0.08599907899997561,
64
+ 0.07876038399999175,
65
+ 0.07873982500001375,
66
+ 0.07868653600002062
67
  ]
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
+ "value": 11.248341555066418
72
  },
73
  "energy": {
74
  "unit": "kWh",
75
+ "cpu": 3.1954744559829092e-06,
76
+ "ram": 1.3362235050498363e-07,
77
  "gpu": 0.0,
78
+ "total": 3.3290968064878923e-06
79
  },
80
  "efficiency": {
81
  "unit": "samples/kWh",
82
+ "value": 300381.77263309236
83
  }
84
  }
85
  }