IlyasMoutawwakil HF staff commited on
Commit
80f88f5
·
verified ·
1 Parent(s): c87676f

Upload cuda_training_transformers_image-classification_google/vit-base-patch16-224/benchmark_report.json with huggingface_hub

Browse files
cuda_training_transformers_image-classification_google/vit-base-patch16-224/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "overall": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 1629.827072,
6
  "max_global_vram": 2618.81856,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 1956.642816,
@@ -11,42 +11,42 @@
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
- 0.3324876708984375,
15
- 0.03997081756591797,
16
- 0.039812095642089845,
17
- 0.0398131217956543,
18
- 0.03980799865722656
19
  ],
20
  "count": 5,
21
- "total": 0.49189170455932624,
22
- "mean": 0.09837834091186524,
23
- "p50": 0.0398131217956543,
24
- "p90": 0.21548092956542972,
25
- "p95": 0.27398430023193354,
26
- "p99": 0.3207869967651367,
27
- "stdev": 0.1170546813562994,
28
- "stdev_": 118.98419943996193
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
- "value": 101.64839036021918
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
- "cpu": 1.155796059027981e-05,
37
- "ram": 6.284198054150744e-06,
38
- "gpu": 2.4989186658001122e-05,
39
- "total": 4.283134530243168e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
- "value": 233473.87128258767
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
- "max_ram": 1629.827072,
50
  "max_global_vram": 2618.81856,
51
  "max_process_vram": 0.0,
52
  "max_reserved": 1956.642816,
@@ -55,22 +55,22 @@
55
  "latency": {
56
  "unit": "s",
57
  "values": [
58
- 0.3324876708984375,
59
- 0.03997081756591797
60
  ],
61
  "count": 2,
62
- "total": 0.3724584884643555,
63
- "mean": 0.18622924423217774,
64
- "p50": 0.18622924423217774,
65
- "p90": 0.30323598556518555,
66
- "p95": 0.3178618282318115,
67
- "p99": 0.3295625023651123,
68
- "stdev": 0.14625842666625977,
69
- "stdev_": 78.53676648331069
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
- "value": 21.4789036839621
74
  },
75
  "energy": null,
76
  "efficiency": null
@@ -78,7 +78,7 @@
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
- "max_ram": 1629.827072,
82
  "max_global_vram": 2618.81856,
83
  "max_process_vram": 0.0,
84
  "max_reserved": 1956.642816,
@@ -87,23 +87,23 @@
87
  "latency": {
88
  "unit": "s",
89
  "values": [
90
- 0.039812095642089845,
91
- 0.0398131217956543,
92
- 0.03980799865722656
93
  ],
94
  "count": 3,
95
- "total": 0.1194332160949707,
96
- "mean": 0.0398110720316569,
97
- "p50": 0.039812095642089845,
98
- "p90": 0.03981291656494141,
99
- "p95": 0.03981301918029785,
100
- "p99": 0.03981310127258301,
101
- "stdev": 2.2132134369527027e-06,
102
- "stdev_": 0.0055592912323305516
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
- "value": 150.71184205310848
107
  },
108
  "energy": null,
109
  "efficiency": null
 
2
  "overall": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1629.73696,
6
  "max_global_vram": 2618.81856,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 1956.642816,
 
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
+ 0.3428454284667969,
15
+ 0.04075110244750976,
16
+ 0.04060774230957031,
17
+ 0.040525825500488284,
18
+ 0.04025958251953125
19
  ],
20
  "count": 5,
21
+ "total": 0.5049896812438965,
22
+ "mean": 0.10099793624877931,
23
+ "p50": 0.04060774230957031,
24
+ "p90": 0.22200769805908208,
25
+ "p95": 0.2824265632629394,
26
+ "p99": 0.33076165542602537,
27
+ "stdev": 0.12092385189972239,
28
+ "stdev_": 119.7290324842493
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
+ "value": 99.01192411860656
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
+ "cpu": 1.1720678215278312e-05,
37
+ "ram": 6.403387562498455e-06,
38
+ "gpu": 2.3851407969999877e-05,
39
+ "total": 4.197547374777664e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
+ "value": 238234.35704593282
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
+ "max_ram": 1629.73696,
50
  "max_global_vram": 2618.81856,
51
  "max_process_vram": 0.0,
52
  "max_reserved": 1956.642816,
 
55
  "latency": {
56
  "unit": "s",
57
  "values": [
58
+ 0.3428454284667969,
59
+ 0.04075110244750976
60
  ],
61
  "count": 2,
62
+ "total": 0.3835965309143067,
63
+ "mean": 0.19179826545715334,
64
+ "p50": 0.19179826545715334,
65
+ "p90": 0.3126359958648682,
66
+ "p95": 0.3277407121658325,
67
+ "p99": 0.339824485206604,
68
+ "stdev": 0.15104716300964358,
69
+ "stdev_": 78.75314338720474
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
+ "value": 20.855245955775224
74
  },
75
  "energy": null,
76
  "efficiency": null
 
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
+ "max_ram": 1629.73696,
82
  "max_global_vram": 2618.81856,
83
  "max_process_vram": 0.0,
84
  "max_reserved": 1956.642816,
 
87
  "latency": {
88
  "unit": "s",
89
  "values": [
90
+ 0.04060774230957031,
91
+ 0.040525825500488284,
92
+ 0.04025958251953125
93
  ],
94
  "count": 3,
95
+ "total": 0.12139315032958985,
96
+ "mean": 0.04046438344319662,
97
+ "p50": 0.040525825500488284,
98
+ "p90": 0.040591358947753904,
99
+ "p95": 0.04059955062866211,
100
+ "p99": 0.040606103973388666,
101
+ "stdev": 0.00014862739687595587,
102
+ "stdev_": 0.36730424197516093
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
+ "value": 148.27854743969405
107
  },
108
  "energy": null,
109
  "efficiency": null