Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
6ae9b4b
•
1 Parent(s): aae8925

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 -87
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": 1104.93696,
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": 4.791509840999993,
15
- "mean": 4.791509840999993,
16
  "stdev": 0.0,
17
- "p50": 4.791509840999993,
18
- "p90": 4.791509840999993,
19
- "p95": 4.791509840999993,
20
- "p99": 4.791509840999993,
21
  "values": [
22
- 4.791509840999993
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 6.951810386445787e-05,
29
- "ram": 2.9056832494553455e-06,
30
  "gpu": 0,
31
- "total": 7.242378711391321e-05
32
  },
33
  "efficiency": null
34
  },
35
  "prefill": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 958.01344,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -44,50 +44,50 @@
44
  "latency": {
45
  "unit": "s",
46
  "count": 14,
47
- "total": 0.654458666000096,
48
- "mean": 0.04674704757143543,
49
- "stdev": 0.0022246892216892015,
50
- "p50": 0.047599926000003734,
51
- "p90": 0.048207206900031,
52
- "p95": 0.04850091645001555,
53
- "p99": 0.048838493689997334,
54
  "values": [
55
- 0.04728835100002016,
56
- 0.04827370100002781,
57
- 0.04780141399999138,
58
- 0.046878372000037416,
59
- 0.04892288799999278,
60
- 0.04775192100004233,
61
- 0.04772848699997212,
62
- 0.04767835299998069,
63
- 0.048052054000038424,
64
- 0.046909349999964434,
65
- 0.04752149900002678,
66
- 0.046688306000021385,
67
- 0.04178840999998101,
68
- 0.04117555999999922
69
  ]
70
  },
71
  "throughput": {
72
  "unit": "tokens/s",
73
- "value": 42.78345058998102
74
  },
75
  "energy": {
76
  "unit": "kWh",
77
- "cpu": 1.6673368436318858e-06,
78
- "ram": 6.968032489455014e-08,
79
  "gpu": 0.0,
80
- "total": 1.737017168526436e-06
81
  },
82
  "efficiency": {
83
  "unit": "tokens/kWh",
84
- "value": 1151399.0973944492
85
  }
86
  },
87
  "decode": {
88
  "memory": {
89
  "unit": "MB",
90
- "max_ram": 958.930944,
91
  "max_global_vram": null,
92
  "max_process_vram": null,
93
  "max_reserved": null,
@@ -96,44 +96,44 @@
96
  "latency": {
97
  "unit": "s",
98
  "count": 14,
99
- "total": 0.4030300570000236,
100
- "mean": 0.028787861214287398,
101
- "stdev": 0.0018371539043317414,
102
- "p50": 0.029565092500007495,
103
- "p90": 0.0302946183000131,
104
- "p95": 0.030323387600026307,
105
- "p99": 0.030333348720030243,
106
  "values": [
107
- 0.03033583900003123,
108
- 0.029677832999993825,
109
- 0.029549702999986494,
110
- 0.03024313399998846,
111
- 0.03031668300002366,
112
- 0.029803739999977097,
113
- 0.029375265999988187,
114
- 0.029900250000025608,
115
- 0.029563650000000052,
116
- 0.029566535000014937,
117
- 0.02860264499997811,
118
- 0.025381912000000284,
119
- 0.025459506999993664,
120
- 0.025253360000021985
121
  ]
122
  },
123
  "throughput": {
124
  "unit": "tokens/s",
125
- "value": 34.736863310418514
126
  },
127
  "energy": {
128
  "unit": "kWh",
129
- "cpu": 1.0223479182631883e-06,
130
- "ram": 4.272699304313381e-08,
131
  "gpu": 0.0,
132
- "total": 1.0650749113063215e-06
133
  },
134
  "efficiency": {
135
  "unit": "tokens/kWh",
136
- "value": 938901.094546949
137
  }
138
  },
139
  "per_token": {
@@ -141,33 +141,33 @@
141
  "latency": {
142
  "unit": "s",
143
  "count": 14,
144
- "total": 0.3971152149999284,
145
- "mean": 0.028365372499994886,
146
- "stdev": 0.0017728211168115862,
147
- "p50": 0.02912257699998122,
148
- "p90": 0.029818629999994073,
149
- "p95": 0.029847991950003917,
150
- "p99": 0.02986117759001786,
151
  "values": [
152
- 0.029864474000021346,
153
- 0.029218660999958956,
154
- 0.029126959999985047,
155
- 0.029770826999993005,
156
- 0.02983911699999453,
157
- 0.029383650999989186,
158
- 0.02891090399998575,
159
- 0.02944914400001153,
160
- 0.029118193999977393,
161
- 0.0290826369999877,
162
- 0.028149745000007442,
163
- 0.025079162999986693,
164
- 0.025166838000018288,
165
- 0.02495490000001155
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "tokens/s",
170
- "value": 35.25425234589041
171
  },
172
  "energy": null,
173
  "efficiency": null
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1116.11904,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.9850459970000145,
15
+ "mean": 4.9850459970000145,
16
  "stdev": 0.0,
17
+ "p50": 4.9850459970000145,
18
+ "p90": 4.9850459970000145,
19
+ "p95": 4.9850459970000145,
20
+ "p99": 4.9850459970000145,
21
  "values": [
22
+ 4.9850459970000145
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 6.864370505015056e-05,
29
+ "ram": 2.86913370317734e-06,
30
  "gpu": 0,
31
+ "total": 7.15128387533279e-05
32
  },
33
  "efficiency": null
34
  },
35
  "prefill": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 969.457664,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
44
  "latency": {
45
  "unit": "s",
46
  "count": 14,
47
+ "total": 0.6492219619999844,
48
+ "mean": 0.04637299728571317,
49
+ "stdev": 0.003450014512094901,
50
+ "p50": 0.045961873999999625,
51
+ "p90": 0.04958727620000616,
52
+ "p95": 0.05182017724999923,
53
+ "p99": 0.0549908226499906,
54
  "values": [
55
+ 0.04694993100000033,
56
+ 0.04733428399998729,
57
+ 0.04935671300000877,
58
+ 0.04447493699998972,
59
+ 0.04408796999999254,
60
+ 0.04311427299998627,
61
+ 0.04741157800000906,
62
+ 0.05578348399998845,
63
+ 0.04968608900000504,
64
+ 0.047024088000000575,
65
+ 0.04497381699999892,
66
+ 0.04292967000000658,
67
+ 0.04322925600001781,
68
+ 0.04286587199999303
69
  ]
70
  },
71
  "throughput": {
72
  "unit": "tokens/s",
73
+ "value": 43.1285471516453
74
  },
75
  "energy": {
76
  "unit": "kWh",
77
+ "cpu": 1.7557357820335793e-06,
78
+ "ram": 7.337418626093494e-08,
79
  "gpu": 0.0,
80
+ "total": 1.8291099682945143e-06
81
  },
82
  "efficiency": {
83
  "unit": "tokens/kWh",
84
+ "value": 1093427.9702520159
85
  }
86
  },
87
  "decode": {
88
  "memory": {
89
  "unit": "MB",
90
+ "max_ram": 970.375168,
91
  "max_global_vram": null,
92
  "max_process_vram": null,
93
  "max_reserved": null,
 
96
  "latency": {
97
  "unit": "s",
98
  "count": 14,
99
+ "total": 0.3973863930000334,
100
+ "mean": 0.028384742357145245,
101
+ "stdev": 0.002330381697255101,
102
+ "p50": 0.027850631500001555,
103
+ "p90": 0.03139186809999899,
104
+ "p95": 0.033193142049996995,
105
+ "p99": 0.03432879240999995,
106
  "values": [
107
+ 0.028293337999997448,
108
+ 0.028941801000001988,
109
+ 0.027376726999989387,
110
+ 0.027407925000005662,
111
+ 0.02620462100000509,
112
+ 0.028483571000009533,
113
+ 0.032428761999995004,
114
+ 0.03461270500000069,
115
+ 0.028404824999995526,
116
+ 0.028972449000008282,
117
+ 0.026298445000008996,
118
+ 0.02636409699999831,
119
+ 0.026905532000000676,
120
+ 0.026691595000016832
121
  ]
122
  },
123
  "throughput": {
124
  "unit": "tokens/s",
125
+ "value": 35.23019470875245
126
  },
127
  "energy": {
128
  "unit": "kWh",
129
+ "cpu": 1.068852172381636e-06,
130
+ "ram": 4.466893373497833e-08,
131
  "gpu": 0.0,
132
+ "total": 1.1135211061166145e-06
133
  },
134
  "efficiency": {
135
  "unit": "tokens/kWh",
136
+ "value": 898052.1289690526
137
  }
138
  },
139
  "per_token": {
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 14,
144
+ "total": 0.391515896000044,
145
+ "mean": 0.027965421142860287,
146
+ "stdev": 0.002262808085706255,
147
+ "p50": 0.0274671694999995,
148
+ "p90": 0.030894525099992624,
149
+ "p95": 0.03263988709998955,
150
+ "p99": 0.03376235181999334,
151
  "values": [
152
+ 0.027914785000007214,
153
+ 0.028584859000005736,
154
+ 0.02701237099998366,
155
+ 0.027041634999989128,
156
+ 0.02581556900000237,
157
+ 0.027997358000021677,
158
+ 0.031884381999987,
159
+ 0.03404296799999429,
160
+ 0.02789270400000987,
161
+ 0.028441593000025023,
162
+ 0.025968742999992855,
163
+ 0.026023465000008628,
164
+ 0.026552215999998907,
165
+ 0.02634324800001764
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "tokens/s",
170
+ "value": 35.758445935483614
171
  },
172
  "energy": null,
173
  "efficiency": null