Hugging Face's logo

Datasets:
optimum-benchmark
/
rocm

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
8718556
·
verified ·
1 Parent(s): 97615d1

Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json +91 -90
cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json CHANGED
@@ -2,24 +2,24 @@
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 892.125184,
6
- "max_global_vram": 3746.750464,
7
- "max_process_vram": 46539.669504,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 736.603648
10
  },
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
- "total": 7.20949462890625,
15
- "mean": 7.20949462890625,
16
  "stdev": 0.0,
17
- "p50": 7.20949462890625,
18
- "p90": 7.20949462890625,
19
- "p95": 7.20949462890625,
20
- "p99": 7.20949462890625,
21
  "values": [
22
- 7.20949462890625
23
  ]
24
  },
25
  "throughput": null,
@@ -29,96 +29,97 @@
29
  "forward": {
30
  "memory": {
31
  "unit": "MB",
32
- "max_ram": 1036.877824,
33
- "max_global_vram": 3861.72928,
34
- "max_process_vram": 306899.12832,
35
  "max_reserved": 773.849088,
36
  "max_allocated": 745.086976
37
  },
38
  "latency": {
39
  "unit": "s",
40
- "count": 68,
41
- "total": 1.0085519332885744,
42
- "mean": 0.01483164607777315,
43
- "stdev": 0.00042159301047500135,
44
- "p50": 0.014929659366607666,
45
- "p90": 0.015214939880371094,
46
- "p95": 0.015296643495559693,
47
- "p99": 0.015607622308731079,
48
  "values": [
49
- 0.015722219467163085,
50
- 0.01542765998840332,
51
- 0.014723179817199707,
52
- 0.014842700004577637,
53
- 0.014692939758300782,
54
- 0.014930379867553712,
55
- 0.014959340095520019,
56
- 0.01520989990234375,
57
- 0.01501710033416748,
58
- 0.015136139869689941,
59
- 0.01494878101348877,
60
- 0.01444270133972168,
61
- 0.014013581275939942,
62
- 0.015040300369262695,
63
- 0.01509694004058838,
64
- 0.014849419593811036,
65
- 0.015093259811401367,
66
- 0.014856619834899902,
67
- 0.015203660011291503,
68
- 0.014977740287780763,
69
- 0.01516077995300293,
70
- 0.014908140182495117,
71
- 0.015001899719238281,
72
- 0.014953579902648926,
73
- 0.015226699829101563,
74
- 0.014890700340270997,
75
- 0.015009099960327149,
76
- 0.014860461235046387,
77
- 0.014650540351867676,
78
- 0.013978220939636231,
79
- 0.013837422370910644,
80
- 0.013762701034545898,
81
- 0.0139668607711792,
82
- 0.013982542037963867,
83
- 0.014169100761413575,
84
- 0.013732460975646973,
85
- 0.014236620903015137,
86
- 0.014135340690612792,
87
- 0.014587020874023438,
88
- 0.014250381469726563,
89
- 0.014560461044311523,
90
- 0.014910699844360352,
91
- 0.015139180183410645,
92
- 0.014881580352783204,
93
- 0.014866700172424316,
94
- 0.015297259330749512,
95
- 0.014789100646972655,
96
- 0.01489597988128662,
97
- 0.015161898612976074,
98
- 0.01499038028717041,
99
- 0.014983659744262695,
100
- 0.015295499801635743,
101
- 0.014838379859924316,
102
- 0.014965100288391113,
103
- 0.015207179069519043,
104
- 0.014976619720458984,
105
- 0.014917739868164063,
106
- 0.015252459526062011,
107
- 0.015017580032348633,
108
- 0.01488621997833252,
109
- 0.014868619918823243,
110
- 0.015016460418701172,
111
- 0.015551178932189942,
112
- 0.015079660415649414,
113
- 0.014846220016479492,
114
- 0.014928938865661621,
115
- 0.014970859527587891,
116
- 0.014971179962158203
 
117
  ]
118
  },
119
  "throughput": {
120
  "unit": "samples/s",
121
- "value": 67.42339958466309
122
  },
123
  "energy": null,
124
  "efficiency": null
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 892.174336,
6
+ "max_global_vram": 3346.501632,
7
+ "max_process_vram": 46442.131456,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 736.603648
10
  },
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 7.49821728515625,
15
+ "mean": 7.49821728515625,
16
  "stdev": 0.0,
17
+ "p50": 7.49821728515625,
18
+ "p90": 7.49821728515625,
19
+ "p95": 7.49821728515625,
20
+ "p99": 7.49821728515625,
21
  "values": [
22
+ 7.49821728515625
23
  ]
24
  },
25
  "throughput": null,
 
29
  "forward": {
30
  "memory": {
31
  "unit": "MB",
32
+ "max_ram": 1036.92288,
33
+ "max_global_vram": 3409.424384,
34
+ "max_process_vram": 306040.680448,
35
  "max_reserved": 773.849088,
36
  "max_allocated": 745.086976
37
  },
38
  "latency": {
39
  "unit": "s",
40
+ "count": 69,
41
+ "total": 1.0022013053894043,
42
+ "mean": 0.014524656599846437,
43
+ "stdev": 0.0004823327478456479,
44
+ "p50": 0.01448509693145752,
45
+ "p90": 0.01497952938079834,
46
+ "p95": 0.015056328964233399,
47
+ "p99": 0.015876006965637197,
48
  "values": [
49
+ 0.0154338960647583,
50
+ 0.014426377296447754,
51
+ 0.014575177192687989,
52
+ 0.014427337646484375,
53
+ 0.015049736022949218,
54
+ 0.015058696746826172,
55
+ 0.014172138214111328,
56
+ 0.01418797779083252,
57
+ 0.014904136657714845,
58
+ 0.015006537437438966,
59
+ 0.014794377326965332,
60
+ 0.014893416404724122,
61
+ 0.01485341739654541,
62
+ 0.014906537055969239,
63
+ 0.01472717571258545,
64
+ 0.014853897094726563,
65
+ 0.014731017112731934,
66
+ 0.014925256729125976,
67
+ 0.014779497146606445,
68
+ 0.014903017044067383,
69
+ 0.014749576568603515,
70
+ 0.014965895652770997,
71
+ 0.014915496826171874,
72
+ 0.014940775871276856,
73
+ 0.01474333667755127,
74
+ 0.014801257133483887,
75
+ 0.015162216186523438,
76
+ 0.014972777366638183,
77
+ 0.01478925609588623,
78
+ 0.015052777290344238,
79
+ 0.014924296379089355,
80
+ 0.014522216796875,
81
+ 0.014117258071899414,
82
+ 0.014304457664489746,
83
+ 0.014114056587219238,
84
+ 0.01472093677520752,
85
+ 0.014925896644592285,
86
+ 0.016815492630004883,
87
+ 0.014669096946716309,
88
+ 0.014656617164611816,
89
+ 0.014432297706604005,
90
+ 0.01448509693145752,
91
+ 0.014436777114868165,
92
+ 0.014645896911621093,
93
+ 0.014037737846374512,
94
+ 0.014222698211669922,
95
+ 0.01403901767730713,
96
+ 0.014024778366088867,
97
+ 0.014036297798156738,
98
+ 0.014036137580871582,
99
+ 0.014058697700500488,
100
+ 0.014028138160705566,
101
+ 0.014238376617431641,
102
+ 0.014050217628479003,
103
+ 0.01403389835357666,
104
+ 0.013988457679748535,
105
+ 0.014020618438720702,
106
+ 0.014052457809448242,
107
+ 0.013994057655334473,
108
+ 0.01419933795928955,
109
+ 0.014071337699890137,
110
+ 0.014063178062438965,
111
+ 0.014039498329162597,
112
+ 0.014143017768859864,
113
+ 0.014023338317871094,
114
+ 0.014083176612854005,
115
+ 0.014041897773742675,
116
+ 0.014119176864624024,
117
+ 0.014082378387451171
118
  ]
119
  },
120
  "throughput": {
121
  "unit": "samples/s",
122
+ "value": 68.84844355016095
123
  },
124
  "energy": null,
125
  "efficiency": null