IlyasMoutawwakil HF staff commited on
Commit
0028233
1 Parent(s): c41655e

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": "034e40c3ab573ad44343a7fcce8e83f9a39327de",
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": 1162.735616,
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": 4.84675449599996,
112
- "mean": 4.84675449599996,
113
  "stdev": 0.0,
114
- "p50": 4.84675449599996,
115
- "p90": 4.84675449599996,
116
- "p95": 4.84675449599996,
117
- "p99": 4.84675449599996,
118
  "values": [
119
- 4.84675449599996
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 6.850527657402887e-05,
126
- "ram": 2.8633613044723918e-06,
127
  "gpu": 0,
128
- "total": 7.136863787850125e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 1190.89152,
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": 1.0595587679999312,
145
- "mean": 0.15136553828570445,
146
- "stdev": 0.00824289576839792,
147
- "p50": 0.15643659799997067,
148
- "p90": 0.15837801299999227,
149
- "p95": 0.15910739099998636,
150
- "p99": 0.15969089339998163,
151
  "values": [
152
- 0.15710566100000278,
153
- 0.15643659799997067,
154
- 0.15740550900000017,
155
- 0.15983676899998045,
156
- 0.1506676930000026,
157
- 0.13746601899998723,
158
- 0.1406405189999873
159
  ]
160
  },
161
  "throughput": {
162
  "unit": "samples/s",
163
- "value": 6.60652359398007
164
  },
165
  "energy": {
166
  "unit": "kWh",
167
- "cpu": 5.359369019667308e-06,
168
- "ram": 2.2398509665634945e-07,
169
  "gpu": 0.0,
170
- "total": 5.583354116323658e-06
171
  },
172
  "efficiency": {
173
  "unit": "samples/kWh",
174
- "value": 179103.8109290562
175
  }
176
  }
177
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.3.1",
83
+ "optimum_benchmark_commit": "77ca106f4cf33f416814fc4a120313d806701176",
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": 1163.112448,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.788087188999953,
112
+ "mean": 4.788087188999953,
113
  "stdev": 0.0,
114
+ "p50": 4.788087188999953,
115
+ "p90": 4.788087188999953,
116
+ "p95": 4.788087188999953,
117
+ "p99": 4.788087188999953,
118
  "values": [
119
+ 4.788087188999953
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 6.835650073157417e-05,
126
+ "ram": 2.8571319355080504e-06,
127
  "gpu": 0,
128
+ "total": 7.121363266708223e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 1191.292928,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 7,
144
+ "total": 1.137741453999979,
145
+ "mean": 0.16253449342856843,
146
+ "stdev": 0.02961038771153419,
147
+ "p50": 0.16102060600002233,
148
+ "p90": 0.18983734500000085,
149
+ "p95": 0.21031676999999144,
150
+ "p99": 0.226700309999984,
151
  "values": [
152
+ 0.16102060600002233,
153
+ 0.23079619499998216,
154
+ 0.16253144500001326,
155
+ 0.16200519399995983,
156
+ 0.14340158299995664,
157
+ 0.13960219200004076,
158
+ 0.13838423900000407
159
  ]
160
  },
161
  "throughput": {
162
  "unit": "samples/s",
163
+ "value": 6.152540171046742
164
  },
165
  "energy": {
166
  "unit": "kWh",
167
+ "cpu": 4.6415479094893856e-06,
168
+ "ram": 1.9398217401658257e-07,
169
  "gpu": 0.0,
170
+ "total": 4.835530083505968e-06
171
  },
172
  "efficiency": {
173
  "unit": "samples/kWh",
174
+ "value": 206802.5599532527
175
  }
176
  }
177
  }