IlyasMoutawwakil HF staff commited on
Commit
ca6499e
1 Parent(s): 33d94ff

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": "3.10.15",
82
  "optimum_benchmark_version": "0.4.0",
83
- "optimum_benchmark_commit": "51302c583941415719dd441fb25f9836c4254fcb",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.34.2",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 1161.404416,
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": 4.843863973999987,
112
- "mean": 4.843863973999987,
113
  "stdev": 0.0,
114
- "p50": 4.843863973999987,
115
- "p90": 4.843863973999987,
116
- "p95": 4.843863973999987,
117
- "p99": 4.843863973999987,
118
  "values": [
119
- 4.843863973999987
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 6.859478741111156e-05,
126
- "ram": 2.8687158490213837e-06,
127
  "gpu": 0,
128
- "total": 7.146350326013294e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 1192.20224,
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": 1.0803023060000214,
145
- "mean": 0.15432890085714593,
146
- "stdev": 0.009048702425173218,
147
- "p50": 0.15964913900000965,
148
- "p90": 0.16057633220001435,
149
- "p95": 0.16113986360001603,
150
- "p99": 0.1615906887200174,
151
  "values": [
152
- 0.15964913900000965,
153
- 0.15969257000000425,
154
- 0.1592925349999632,
155
- 0.1598249570000121,
156
- 0.16170339500001774,
157
- 0.1403946550000228,
158
- 0.13974505499999168
159
  ]
160
  },
161
  "throughput": {
162
  "unit": "samples/s",
163
- "value": 6.479667738485658
164
  },
165
  "energy": {
166
  "unit": "kWh",
167
- "cpu": 4.6180648975309075e-06,
168
- "ram": 1.9310603558267812e-07,
169
  "gpu": 0.0,
170
- "total": 4.8111709331135855e-06
171
  },
172
  "efficiency": {
173
  "unit": "samples/kWh",
174
- "value": 207849.60956538754
175
  }
176
  }
177
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.15",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "55e3b6a6531cdb8b0211e8ce38d37aaae85b9b71",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.34.2",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 1161.293824,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.8160521750000385,
112
+ "mean": 4.8160521750000385,
113
  "stdev": 0.0,
114
+ "p50": 4.8160521750000385,
115
+ "p90": 4.8160521750000385,
116
+ "p95": 4.8160521750000385,
117
+ "p99": 4.8160521750000385,
118
  "values": [
119
+ 4.8160521750000385
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 6.89905672944434e-05,
126
+ "ram": 2.885202043849106e-06,
127
  "gpu": 0,
128
+ "total": 7.187576933829251e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 1189.163008,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 7,
144
+ "total": 1.0497350790000155,
145
+ "mean": 0.14996215414285935,
146
+ "stdev": 0.006122141301287558,
147
+ "p50": 0.1541180710000276,
148
+ "p90": 0.15472705979999546,
149
+ "p95": 0.15481421640001258,
150
+ "p99": 0.15488394168002628,
151
  "values": [
152
+ 0.15461085099997263,
153
+ 0.1541180710000276,
154
+ 0.1542827679999732,
155
+ 0.1549013730000297,
156
+ 0.15084930699998722,
157
+ 0.14064460500003406,
158
+ 0.14032810399999107
159
  ]
160
  },
161
  "throughput": {
162
  "unit": "samples/s",
163
+ "value": 6.6683491292567325
164
  },
165
  "energy": {
166
  "unit": "kWh",
167
+ "cpu": 5.48297902638883e-06,
168
+ "ram": 2.2927956491596177e-07,
169
  "gpu": 0.0,
170
+ "total": 5.712258591304792e-06
171
  },
172
  "efficiency": {
173
  "unit": "samples/kWh",
174
+ "value": 175062.10267199762
175
  }
176
  }
177
  }