Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
a91dea8
•
1 Parent(s): 678b9df

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": 530.407424,
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": 3.3110845760000416,
15
- "mean": 3.3110845760000416,
16
  "stdev": 0.0,
17
- "p50": 3.3110845760000416,
18
- "p90": 3.3110845760000416,
19
- "p95": 3.3110845760000416,
20
- "p99": 3.3110845760000416,
21
  "values": [
22
- 3.3110845760000416
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 9.956669807434083e-06,
29
- "ram": 4.1574642578893867e-07,
30
  "gpu": 0,
31
- "total": 1.0372416233223022e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 559.49312,
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": 1.028724894999982,
48
- "mean": 0.08572707458333184,
49
- "stdev": 0.004913176932813049,
50
- "p50": 0.08691919649999136,
51
- "p90": 0.08973888100002228,
52
- "p95": 0.09164701110000806,
53
- "p99": 0.09345130061999499,
54
  "values": [
55
- 0.08676581099996383,
56
- 0.08827100399997789,
57
- 0.08513442299999952,
58
- 0.08834467200000518,
59
- 0.08597372500003075,
60
- 0.08917337500002986,
61
- 0.08707258200001888,
62
- 0.09390237299999171,
63
- 0.08980171500002143,
64
- 0.0781372909999618,
65
- 0.07685195599998451,
66
- 0.07929596799999672
67
  ]
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
- "value": 11.664926219171754
72
  },
73
  "energy": {
74
  "unit": "kWh",
75
- "cpu": 3.0857482527056315e-06,
76
- "ram": 1.2895884378753388e-07,
77
  "gpu": 0.0,
78
- "total": 3.2147070964931653e-06
79
  },
80
  "efficiency": {
81
  "unit": "samples/kWh",
82
- "value": 311070.3308213903
83
  }
84
  }
85
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 532.815872,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 3.4020586390000176,
15
+ "mean": 3.4020586390000176,
16
  "stdev": 0.0,
17
+ "p50": 3.4020586390000176,
18
+ "p90": 3.4020586390000176,
19
+ "p95": 3.4020586390000176,
20
+ "p99": 3.4020586390000176,
21
  "values": [
22
+ 3.4020586390000176
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 9.902253415849475e-06,
29
+ "ram": 4.1342552849187086e-07,
30
  "gpu": 0,
31
+ "total": 1.0315678944341346e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 561.09056,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
44
  "latency": {
45
  "unit": "s",
46
  "count": 12,
47
+ "total": 1.0089826820000098,
48
+ "mean": 0.08408189016666749,
49
+ "stdev": 0.0033965100943869064,
50
+ "p50": 0.08367616799998245,
51
+ "p90": 0.08723235290001981,
52
+ "p95": 0.08954102000003558,
53
+ "p99": 0.09171852720004836,
54
  "values": [
55
+ 0.08420345000001817,
56
+ 0.0864973129999953,
57
+ 0.08328556200001458,
58
+ 0.083787430999962,
59
+ 0.08356490500000291,
60
+ 0.08317195000000766,
61
+ 0.08439655999995921,
62
+ 0.08230764300003557,
63
+ 0.09226290400005155,
64
+ 0.08731402400002253,
65
+ 0.07955307099996389,
66
+ 0.07863786899997649
67
  ]
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
+ "value": 11.893167458745225
72
  },
73
  "energy": {
74
  "unit": "kWh",
75
+ "cpu": 3.067646067366641e-06,
76
+ "ram": 1.282019672295029e-07,
77
  "gpu": 0.0,
78
+ "total": 3.1958480345961443e-06
79
  },
80
  "efficiency": {
81
  "unit": "samples/kWh",
82
+ "value": 312905.9921418851
83
  }
84
  }
85
  }