IlyasMoutawwakil HF staff commited on
Commit
7949046
1 Parent(s): 6a33595

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": "0.4.0",
83
- "optimum_benchmark_commit": "12035129458b49eb93fa8919571e0352f4f4cb1e",
84
  "transformers_version": "4.44.0",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 1165.754368,
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": 4.826751982000019,
112
- "mean": 4.826751982000019,
113
  "stdev": 0.0,
114
- "p50": 4.826751982000019,
115
- "p90": 4.826751982000019,
116
- "p95": 4.826751982000019,
117
- "p99": 4.826751982000019,
118
  "values": [
119
- 4.826751982000019
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 6.913160100000085e-05,
126
- "ram": 2.8895307705059354e-06,
127
  "gpu": 0,
128
- "total": 7.202113177050679e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 1193.824256,
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": 1.0545195720000038,
145
- "mean": 0.1506456531428577,
146
- "stdev": 0.005921220765598931,
147
- "p50": 0.15217302000002064,
148
- "p90": 0.1560079546000111,
149
- "p95": 0.15757342630002427,
150
- "p99": 0.1588258036600348,
151
  "values": [
152
- 0.15158496599997306,
153
- 0.15217302000002064,
154
- 0.15392065899999352,
155
- 0.15371726199998648,
156
- 0.15913889800003744,
157
- 0.14227258500000062,
158
- 0.14171218199999203
159
  ]
160
  },
161
  "throughput": {
162
  "unit": "samples/s",
163
- "value": 6.6380939584874525
164
  },
165
  "energy": {
166
  "unit": "kWh",
167
- "cpu": 5.492567869444345e-06,
168
- "ram": 2.2955180023035056e-07,
169
  "gpu": 0.0,
170
- "total": 5.7221196696746955e-06
171
  },
172
  "efficiency": {
173
  "unit": "samples/kWh",
174
- "value": 174760.4135753509
175
  }
176
  }
177
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "fd1d0f86c25fce0c4e87ce2a113b6de6fd87f52f",
84
  "transformers_version": "4.44.0",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 1166.012416,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 5.037035462000006,
112
+ "mean": 5.037035462000006,
113
  "stdev": 0.0,
114
+ "p50": 5.037035462000006,
115
+ "p90": 5.037035462000006,
116
+ "p95": 5.037035462000006,
117
+ "p99": 5.037035462000006,
118
  "values": [
119
+ 5.037035462000006
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 6.884307208333446e-05,
126
+ "ram": 2.877455634936816e-06,
127
  "gpu": 0,
128
+ "total": 7.172052771827127e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 1194.029056,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 7,
144
+ "total": 1.0959939509999117,
145
+ "mean": 0.15657056442855882,
146
+ "stdev": 0.0047198319636641405,
147
+ "p50": 0.1577986319999809,
148
+ "p90": 0.15985927779998974,
149
+ "p95": 0.16035493540000517,
150
+ "p99": 0.16075146148001748,
151
  "values": [
152
+ 0.15795884099998148,
153
+ 0.15743290000000343,
154
+ 0.15740200299995877,
155
+ 0.1577986319999809,
156
+ 0.16085059300002058,
157
+ 0.15919840099996918,
158
+ 0.14535258099999737
159
  ]
160
  },
161
  "throughput": {
162
  "unit": "samples/s",
163
+ "value": 6.386896564176898
164
  },
165
  "energy": {
166
  "unit": "kWh",
167
+ "cpu": 5.804961444444404e-06,
168
+ "ram": 2.4260127017190196e-07,
169
  "gpu": 0.0,
170
+ "total": 6.047562714616307e-06
171
  },
172
  "efficiency": {
173
  "unit": "samples/kWh",
174
+ "value": 165355.87098305038
175
  }
176
  }
177
  }