IlyasMoutawwakil HF staff commited on
Commit
0d1fd9a
·
verified ·
1 Parent(s): d1d9822

Upload cpu_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub

Browse files
cpu_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json CHANGED
@@ -80,7 +80,7 @@
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.3.1",
83
- "optimum_benchmark_commit": "64d7cde4ffc4c5c7d57f80bbb0bfaa5207878a13",
84
  "transformers_version": "4.42.4",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.32.1",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 1163.001856,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -108,31 +108,31 @@
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
- "total": 4.967102433000036,
112
- "mean": 4.967102433000036,
113
  "stdev": 0.0,
114
- "p50": 4.967102433000036,
115
- "p90": 4.967102433000036,
116
- "p95": 4.967102433000036,
117
- "p99": 4.967102433000036,
118
  "values": [
119
- 4.967102433000036
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 6.834182341893514e-05,
126
- "ram": 2.856524192194456e-06,
127
  "gpu": 0,
128
- "total": 7.11983476111296e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 1189.605376,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -141,37 +141,37 @@
141
  "latency": {
142
  "unit": "s",
143
  "count": 7,
144
- "total": 1.0706226330000277,
145
- "mean": 0.15294609042857538,
146
- "stdev": 0.009422277459359862,
147
- "p50": 0.15778181799998947,
148
- "p90": 0.16010036839999203,
149
- "p95": 0.1604773997000052,
150
- "p99": 0.16077902474001576,
151
  "values": [
152
- 0.15959765999997444,
153
- 0.15738838900000474,
154
- 0.15870560400003342,
155
- 0.1608544310000184,
156
- 0.15778181799998947,
157
- 0.13858047399997986,
158
- 0.13771425700002737
159
  ]
160
  },
161
  "throughput": {
162
  "unit": "samples/s",
163
- "value": 6.538251466237982
164
  },
165
  "energy": {
166
  "unit": "kWh",
167
- "cpu": 5.6283659405178496e-06,
168
- "ram": 2.3521847821971926e-07,
169
  "gpu": 0.0,
170
- "total": 5.863584418737568e-06
171
  },
172
  "efficiency": {
173
  "unit": "samples/kWh",
174
- "value": 170544.14647880185
175
  }
176
  }
177
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.3.1",
83
+ "optimum_benchmark_commit": "802823c7274dfd9b1edbe9a02521fdbafa78149a",
84
  "transformers_version": "4.42.4",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.32.1",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 1163.063296,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.893697886000041,
112
+ "mean": 4.893697886000041,
113
  "stdev": 0.0,
114
+ "p50": 4.893697886000041,
115
+ "p90": 4.893697886000041,
116
+ "p95": 4.893697886000041,
117
+ "p99": 4.893697886000041,
118
  "values": [
119
+ 4.893697886000041
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 7.0019088851081e-05,
126
+ "ram": 2.926631724441222e-06,
127
  "gpu": 0,
128
+ "total": 7.294572057552222e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 1189.482496,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 7,
144
+ "total": 1.091785176999906,
145
+ "mean": 0.1559693109999866,
146
+ "stdev": 0.009299543248734315,
147
+ "p50": 0.161095596999985,
148
+ "p90": 0.16308533219998936,
149
+ "p95": 0.16402866660000653,
150
+ "p99": 0.1647833341200203,
151
  "values": [
152
+ 0.16182755299996643,
153
+ 0.16158548199996403,
154
+ 0.16497200100002374,
155
+ 0.161095596999985,
156
+ 0.159364155999981,
157
+ 0.14179358300003742,
158
+ 0.14114680499994847
159
  ]
160
  },
161
  "throughput": {
162
  "unit": "samples/s",
163
+ "value": 6.4115177119689015
164
  },
165
  "energy": {
166
  "unit": "kWh",
167
+ "cpu": 5.658777554829916e-06,
168
+ "ram": 2.364760461987966e-07,
169
  "gpu": 0.0,
170
+ "total": 5.895253601028712e-06
171
  },
172
  "efficiency": {
173
  "unit": "samples/kWh",
174
+ "value": 169627.98679695505
175
  }
176
  }
177
  }