Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
a9a20e2
•
1 Parent(s): d92ddd5

Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark_report.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark_report.json +87 -90
cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 1115.365376,
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": 4.762582393000002,
15
- "mean": 4.762582393000002,
16
  "stdev": 0.0,
17
- "p50": 4.762582393000002,
18
- "p90": 4.762582393000002,
19
- "p95": 4.762582393000002,
20
- "p99": 4.762582393000002,
21
  "values": [
22
- 4.762582393000002
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 6.732519467671713e-05,
29
- "ram": 2.8140236325225484e-06,
30
  "gpu": 0,
31
- "total": 7.013921830923968e-05
32
  },
33
  "efficiency": null
34
  },
35
  "prefill": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 968.982528,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,51 +43,50 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 14,
47
- "total": 0.6370306800000378,
48
- "mean": 0.04550219142857413,
49
- "stdev": 0.00231082484740105,
50
- "p50": 0.046459437000009984,
51
- "p90": 0.04711479129999816,
52
- "p95": 0.04722313900000472,
53
- "p99": 0.047379419800010966,
54
  "values": [
55
- 0.046816761000002316,
56
- 0.047085180000010496,
57
- 0.047418490000012525,
58
- 0.0451441920000093,
59
- 0.047107420999992655,
60
- 0.04711795000000052,
61
- 0.04653160099999809,
62
- 0.04638727300002188,
63
- 0.04665427899999486,
64
- 0.045672484000021996,
65
- 0.045932907999997497,
66
- 0.0449094749999972,
67
- 0.04010269899998775,
68
- 0.04014996699999074
69
  ]
70
  },
71
  "throughput": {
72
  "unit": "tokens/s",
73
- "value": 43.95392699139441
74
  },
75
  "energy": {
76
  "unit": "kWh",
77
- "cpu": 1.5932177437676324e-06,
78
- "ram": 6.658396984598766e-08,
79
  "gpu": 0.0,
80
- "total": 1.65980171361362e-06
81
  },
82
  "efficiency": {
83
  "unit": "tokens/kWh",
84
- "value": 1204963.2095183954
85
  }
86
  },
87
  "decode": {
88
  "memory": {
89
  "unit": "MB",
90
- "max_ram": 969.506816,
91
  "max_global_vram": null,
92
  "max_process_vram": null,
93
  "max_reserved": null,
@@ -95,79 +94,77 @@
95
  },
96
  "latency": {
97
  "unit": "s",
98
- "count": 14,
99
- "total": 0.3865949159998934,
100
- "mean": 0.027613922571420955,
101
- "stdev": 0.0017606049491948248,
102
- "p50": 0.028410178999990876,
103
- "p90": 0.028891455399983102,
104
- "p95": 0.02918994339998875,
105
- "p99": 0.02946532707999921,
106
  "values": [
107
- 0.028580460000000585,
108
- 0.029004588999981706,
109
- 0.028256507999998348,
110
- 0.028627476999986357,
111
- 0.02953417300000183,
112
- 0.02836241499997527,
113
- 0.02845794300000648,
114
- 0.028546475999974064,
115
- 0.028553329000004624,
116
- 0.027918899999974656,
117
- 0.027451150999979745,
118
- 0.02555762099999015,
119
- 0.023979066000009652,
120
- 0.023764808000009907
121
  ]
122
  },
123
  "throughput": {
124
  "unit": "tokens/s",
125
- "value": 36.21361642532273
126
  },
127
  "energy": {
128
  "unit": "kWh",
129
- "cpu": 9.199000133408446e-07,
130
- "ram": 3.844411820522567e-08,
131
  "gpu": 0.0,
132
- "total": 9.583441315460704e-07
133
  },
134
  "efficiency": {
135
  "unit": "tokens/kWh",
136
- "value": 1043466.5034017868
137
  }
138
  },
139
  "per_token": {
140
  "memory": null,
141
  "latency": {
142
  "unit": "s",
143
- "count": 14,
144
- "total": 0.3801921429999311,
145
- "mean": 0.027156581642852222,
146
- "stdev": 0.001693766891991129,
147
- "p50": 0.027950138499988952,
148
- "p90": 0.02838088299998276,
149
- "p95": 0.028687899799982118,
150
- "p99": 0.02896411755999509,
151
  "values": [
152
- 0.02807176400000344,
153
- 0.02850198399997339,
154
- 0.027788517999994156,
155
- 0.02809831400000462,
156
- 0.02903317199999833,
157
- 0.027891569999979993,
158
- 0.028008706999997912,
159
- 0.028067094999983055,
160
- 0.02802950500000634,
161
- 0.027416024999979527,
162
- 0.026949568999981466,
163
- 0.025240181000015127,
164
- 0.02365433200000666,
165
- 0.023441407000007075
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "tokens/s",
170
- "value": 36.82348585515755
171
  },
172
  "energy": null,
173
  "efficiency": null
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1103.888384,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.923219599000021,
15
+ "mean": 4.923219599000021,
16
  "stdev": 0.0,
17
+ "p50": 4.923219599000021,
18
+ "p90": 4.923219599000021,
19
+ "p95": 4.923219599000021,
20
+ "p99": 4.923219599000021,
21
  "values": [
22
+ 4.923219599000021
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 6.688891781700983e-05,
29
+ "ram": 2.795761876168399e-06,
30
  "gpu": 0,
31
+ "total": 6.968467969317822e-05
32
  },
33
  "efficiency": null
34
  },
35
  "prefill": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 957.759488,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 13,
47
+ "total": 0.6384947779999663,
48
+ "mean": 0.049114982923074334,
49
+ "stdev": 0.0015710323550845065,
50
+ "p50": 0.04923834199999533,
51
+ "p90": 0.05079238959999657,
52
+ "p95": 0.05164564539999787,
53
+ "p99": 0.052489769079996904,
54
  "values": [
55
+ 0.04761659700000109,
56
+ 0.0492790669999863,
57
+ 0.048430805000009514,
58
+ 0.04632397500000707,
59
+ 0.05270079999999666,
60
+ 0.0495008609999843,
61
+ 0.048120036000000255,
62
+ 0.04830081299999733,
63
+ 0.04923834199999533,
64
+ 0.050942208999998684,
65
+ 0.050193111999988105,
66
+ 0.04999807900000519,
67
+ 0.04785008199999652
 
68
  ]
69
  },
70
  "throughput": {
71
  "unit": "tokens/s",
72
+ "value": 40.720771564401694
73
  },
74
  "energy": {
75
  "unit": "kWh",
76
+ "cpu": 1.6877939855610887e-06,
77
+ "ram": 7.053619218439167e-08,
78
  "gpu": 0.0,
79
+ "total": 1.75833017774548e-06
80
  },
81
  "efficiency": {
82
  "unit": "tokens/kWh",
83
+ "value": 1137442.7996022836
84
  }
85
  },
86
  "decode": {
87
  "memory": {
88
  "unit": "MB",
89
+ "max_ram": 958.283776,
90
  "max_global_vram": null,
91
  "max_process_vram": null,
92
  "max_reserved": null,
 
94
  },
95
  "latency": {
96
  "unit": "s",
97
+ "count": 13,
98
+ "total": 0.39746424799994884,
99
+ "mean": 0.030574172923072986,
100
+ "stdev": 0.0013522381556191905,
101
+ "p50": 0.031017617999992808,
102
+ "p90": 0.031744244200001506,
103
+ "p95": 0.031773450799994406,
104
+ "p99": 0.03179830375998563,
105
  "values": [
106
+ 0.03171026100000063,
107
+ 0.03003296299999647,
108
+ 0.03123821099998736,
109
+ 0.031189600999994127,
110
+ 0.030182600999978604,
111
+ 0.031049068000015723,
112
+ 0.031804516999983434,
113
+ 0.030656965999980912,
114
+ 0.031017617999992808,
115
+ 0.029742552000016076,
116
+ 0.030658339000012802,
117
+ 0.03175274000000172,
118
+ 0.026428810999988173
 
119
  ]
120
  },
121
  "throughput": {
122
  "unit": "tokens/s",
123
+ "value": 32.70734428421264
124
  },
125
  "energy": {
126
  "unit": "kWh",
127
+ "cpu": 1.0164049047010916e-06,
128
+ "ram": 4.2475098146923066e-08,
129
  "gpu": 0.0,
130
+ "total": 1.058880002848015e-06
131
  },
132
  "efficiency": {
133
  "unit": "tokens/kWh",
134
+ "value": 944394.0742202624
135
  }
136
  },
137
  "per_token": {
138
  "memory": null,
139
  "latency": {
140
  "unit": "s",
141
+ "count": 13,
142
+ "total": 0.3911294010000006,
143
+ "mean": 0.030086877000000047,
144
+ "stdev": 0.0013132503407730603,
145
+ "p50": 0.030503820000006954,
146
+ "p90": 0.03121630099999493,
147
+ "p95": 0.03126037939999833,
148
+ "p99": 0.031308142279997356,
149
  "values": [
150
+ 0.03122057699999914,
151
+ 0.029550102000001743,
152
+ 0.03072844999999802,
153
+ 0.03070298299999763,
154
+ 0.029703447000002825,
155
+ 0.030579452000011997,
156
+ 0.03132008299999711,
157
+ 0.030135564000005388,
158
+ 0.030503820000006954,
159
+ 0.02922971500001381,
160
+ 0.03016792500000065,
161
+ 0.031199196999978085,
162
+ 0.026088085999987243
 
163
  ]
164
  },
165
  "throughput": {
166
  "unit": "tokens/s",
167
+ "value": 33.237082067374374
168
  },
169
  "energy": null,
170
  "efficiency": null