IlyasMoutawwakil HF staff commited on
Commit
f42ef23
1 Parent(s): 0c89def

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
@@ -71,14 +71,14 @@
71
  "environment": {
72
  "cpu": " AMD EPYC 7763 64-Core Processor",
73
  "cpu_count": 4,
74
- "cpu_ram_mb": 16757.354496,
75
  "system": "Linux",
76
  "machine": "x86_64",
77
  "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
78
  "processor": "x86_64",
79
  "python_version": "3.10.14",
80
  "optimum_benchmark_version": "0.2.1",
81
- "optimum_benchmark_commit": "0b24af9d7b7751f74b160dfade73ef78e10964d6",
82
  "transformers_version": "4.40.2",
83
  "transformers_commit": null,
84
  "accelerate_version": "0.30.1",
@@ -97,7 +97,7 @@
97
  "forward": {
98
  "memory": {
99
  "unit": "MB",
100
- "max_ram": 936.378368,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
@@ -105,59 +105,58 @@
105
  },
106
  "latency": {
107
  "unit": "s",
108
- "count": 28,
109
- "total": 1.0318560470000762,
110
- "mean": 0.03685200167857415,
111
- "stdev": 0.0007365907624244915,
112
- "p50": 0.03712659000001395,
113
- "p90": 0.037604654899990916,
114
- "p95": 0.03778203910001991,
115
- "p99": 0.037902372900020395,
116
  "values": [
117
- 0.03730902400002378,
118
- 0.03711104100000284,
119
- 0.03782898600002227,
120
- 0.037296219999973346,
121
- 0.03519177999999101,
122
- 0.03684077099995875,
123
- 0.03648704300002237,
124
- 0.03665597199994863,
125
- 0.036056962000031945,
126
- 0.037018546000012975,
127
- 0.035860350999996626,
128
- 0.0355283939999822,
129
- 0.03752841900001158,
130
- 0.037215889000037805,
131
- 0.03719487900002605,
132
- 0.036828968999998324,
133
- 0.037565998999980366,
134
- 0.035797451999997065,
135
- 0.03744461100001217,
136
- 0.03578372599997692,
137
- 0.03714795100000856,
138
- 0.03743923000001814,
139
- 0.03683505000003606,
140
- 0.037142139000025054,
141
- 0.03583278799999334,
142
- 0.037694852000015544,
143
- 0.0379295160000197,
144
- 0.037289486999952715
145
  ]
146
  },
147
  "throughput": {
148
  "unit": "samples/s",
149
- "value": 27.135568068244243
150
  },
151
  "energy": {
152
  "unit": "kWh",
153
- "cpu": 1.2370425379938551e-06,
154
- "ram": 5.169770543869134e-08,
155
  "gpu": 0.0,
156
- "total": 1.2887402434325465e-06
157
  },
158
  "efficiency": {
159
  "unit": "samples/kWh",
160
- "value": 775951.5581949317
161
  }
162
  }
163
  }
 
71
  "environment": {
72
  "cpu": " AMD EPYC 7763 64-Core Processor",
73
  "cpu_count": 4,
74
+ "cpu_ram_mb": 16757.3504,
75
  "system": "Linux",
76
  "machine": "x86_64",
77
  "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
78
  "processor": "x86_64",
79
  "python_version": "3.10.14",
80
  "optimum_benchmark_version": "0.2.1",
81
+ "optimum_benchmark_commit": "1ba65d84c92c93ea19ab2d2293c92bced987bae2",
82
  "transformers_version": "4.40.2",
83
  "transformers_commit": null,
84
  "accelerate_version": "0.30.1",
 
97
  "forward": {
98
  "memory": {
99
  "unit": "MB",
100
+ "max_ram": 937.050112,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
 
105
  },
106
  "latency": {
107
  "unit": "s",
108
+ "count": 27,
109
+ "total": 1.012489849000076,
110
+ "mean": 0.03749962403703985,
111
+ "stdev": 0.0008102174966712957,
112
+ "p50": 0.037636799999972936,
113
+ "p90": 0.0383750286000236,
114
+ "p95": 0.03867013099997507,
115
+ "p99": 0.03891177891996449,
116
  "values": [
117
+ 0.03896892899996374,
118
+ 0.0378362619999848,
119
+ 0.037936969999975645,
120
+ 0.038749120999966635,
121
+ 0.0350502069999834,
122
+ 0.037028268000028675,
123
+ 0.038301167000042824,
124
+ 0.0381366820000153,
125
+ 0.037642340999980206,
126
+ 0.03827270499999713,
127
+ 0.037636799999972936,
128
+ 0.037244571000030646,
129
+ 0.03848582099999476,
130
+ 0.03795935100004044,
131
+ 0.03726677199995265,
132
+ 0.03694746799999393,
133
+ 0.03677579800000785,
134
+ 0.03673992200003795,
135
+ 0.037669140000048174,
136
+ 0.036535260999983166,
137
+ 0.036999806000039825,
138
+ 0.037403808000021854,
139
+ 0.03685807200002955,
140
+ 0.03736737899998843,
141
+ 0.036614417999999205,
142
+ 0.037822345999984464,
143
+ 0.0382404640000118
 
144
  ]
145
  },
146
  "throughput": {
147
  "unit": "samples/s",
148
+ "value": 26.6669340207854
149
  },
150
  "energy": {
151
  "unit": "kWh",
152
+ "cpu": 1.2475512921810152e-06,
153
+ "ram": 5.2137148990105686e-08,
154
  "gpu": 0.0,
155
+ "total": 1.299688441171121e-06
156
  },
157
  "efficiency": {
158
  "unit": "samples/kWh",
159
+ "value": 769415.1677604533
160
  }
161
  }
162
  }