IlyasMoutawwakil HF staff commited on
Commit
6ae2266
1 Parent(s): 05c5a18

Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub

Browse files
cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json CHANGED
@@ -73,14 +73,14 @@
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
- "cpu_ram_mb": 16757.342208,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.0",
83
- "optimum_benchmark_commit": "8d79709992edcccdc1bf81d55005e3bb3ccf994a",
84
  "transformers_version": "4.40.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.30.1",
@@ -99,7 +99,7 @@
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 939.491328,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -107,64 +107,65 @@
107
  },
108
  "latency": {
109
  "unit": "s",
110
- "count": 33,
111
- "total": 1.029556896000031,
112
- "mean": 0.031198693818182757,
113
- "stdev": 0.0007658390428683259,
114
- "p50": 0.030985643000008167,
115
- "p90": 0.03198925599999143,
116
- "p95": 0.03289360460000239,
117
- "p99": 0.03356392168000525,
118
  "values": [
119
- 0.031584143999992875,
120
- 0.03143743199998994,
121
- 0.031447220000018206,
122
- 0.030897688999999673,
123
- 0.03046746100000064,
124
- 0.030889393999984804,
125
- 0.03120596100001194,
126
- 0.030589558000002626,
127
- 0.030941681999991033,
128
- 0.031534481999983655,
129
- 0.030985643000008167,
130
- 0.030758852000019488,
131
- 0.03133175499999652,
132
- 0.03155360700000642,
133
- 0.031051024000021243,
134
- 0.03209053399999107,
135
- 0.03301791499998785,
136
- 0.03118267900001115,
137
- 0.03086250499998755,
138
- 0.03143515700000421,
139
- 0.031093083000001798,
140
- 0.03095364399999312,
141
- 0.031012121999992814,
142
- 0.03060964499999841,
143
- 0.03092670600000247,
144
- 0.030901977000013403,
145
- 0.030246801000004098,
146
- 0.03040864799999099,
147
- 0.030680375999992293,
148
- 0.03382086600001344,
149
- 0.03281073100001208,
150
- 0.03050770600000874,
151
- 0.030319896999998264
 
152
  ]
153
  },
154
  "throughput": {
155
  "unit": "samples/s",
156
- "value": 32.05262392803108
157
  },
158
  "energy": {
159
  "unit": "kWh",
160
- "cpu": 1.1712540208903796e-06,
161
- "ram": 4.8948849378187815e-08,
162
  "gpu": 0.0,
163
- "total": 1.2202028702685675e-06
164
  },
165
  "efficiency": {
166
  "unit": "samples/kWh",
167
- "value": 819535.852902804
168
  }
169
  }
170
  }
 
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
+ "cpu_ram_mb": 16757.346304,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.0",
83
+ "optimum_benchmark_commit": "99006bdc98988288ce9079002c8f7a21bf6aa26d",
84
  "transformers_version": "4.40.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.30.1",
 
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 939.27424,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
107
  },
108
  "latency": {
109
  "unit": "s",
110
+ "count": 34,
111
+ "total": 1.0178882179999391,
112
+ "mean": 0.02993788876470409,
113
+ "stdev": 0.0008562476221745445,
114
+ "p50": 0.029758873499986294,
115
+ "p90": 0.030344330599962176,
116
+ "p95": 0.030704005700005154,
117
+ "p99": 0.033192708200009524,
118
  "values": [
119
+ 0.0305168670000171,
120
+ 0.03105154899998297,
121
+ 0.02995926099998769,
122
+ 0.029668530999970244,
123
+ 0.029462538000018412,
124
+ 0.029568654999991395,
125
+ 0.029450024000027497,
126
+ 0.029754560000014862,
127
+ 0.029618850000019847,
128
+ 0.03034569799996234,
129
+ 0.029553856999996242,
130
+ 0.029731237000021338,
131
+ 0.029897616000027938,
132
+ 0.029907926000021234,
133
+ 0.02952917099997876,
134
+ 0.030121121000036055,
135
+ 0.029617755999993278,
136
+ 0.030296747000022606,
137
+ 0.029577480999989803,
138
+ 0.02950362399997175,
139
+ 0.029763186999957725,
140
+ 0.0342473090000226,
141
+ 0.029769397999984903,
142
+ 0.029512479999993957,
143
+ 0.03025475900000174,
144
+ 0.03013448699999799,
145
+ 0.029853193000008105,
146
+ 0.029953639999973802,
147
+ 0.030341139999961797,
148
+ 0.029358253999987483,
149
+ 0.029303260999995473,
150
+ 0.03006020800000897,
151
+ 0.02938689699999486,
152
+ 0.02881693599999835
153
  ]
154
  },
155
  "throughput": {
156
  "unit": "samples/s",
157
+ "value": 33.40248899511482
158
  },
159
  "energy": {
160
  "unit": "kWh",
161
+ "cpu": 1.1306455400254993e-06,
162
+ "ram": 4.725183270092462e-08,
163
  "gpu": 0.0,
164
+ "total": 1.177897372726424e-06
165
  },
166
  "efficiency": {
167
  "unit": "samples/kWh",
168
+ "value": 848970.3968736655
169
  }
170
  }
171
  }