IlyasMoutawwakil HF staff commited on
Commit
519e8a4
1 Parent(s): dc1b6d3

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": 16757.3504,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.1",
83
- "optimum_benchmark_commit": "079be6729111d58c45eb7f4a60e984bbf86c5a81",
84
  "transformers_version": "4.41.0",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.30.1",
@@ -99,7 +99,7 @@
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 936.886272,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -107,60 +107,61 @@
107
  },
108
  "latency": {
109
  "unit": "s",
110
- "count": 29,
111
- "total": 1.016004631000044,
112
- "mean": 0.03503464244827738,
113
- "stdev": 0.001886593634563525,
114
- "p50": 0.03552321900002653,
115
- "p90": 0.0367902827999842,
116
- "p95": 0.03703344519998382,
117
- "p99": 0.03747258799998008,
118
  "values": [
119
- 0.03687306999995599,
120
- 0.035474035999982334,
121
- 0.03587025899997798,
122
- 0.035046985000008135,
123
- 0.035084695999955784,
124
- 0.03574205899997196,
125
- 0.03587703200003034,
126
- 0.03676958599999125,
127
- 0.03714036200000237,
128
- 0.03445058599999129,
129
- 0.03760178699997141,
130
- 0.03523270300001968,
131
- 0.03520812700003262,
132
- 0.03589843100002099,
133
- 0.03517137800002956,
134
- 0.034950184000024365,
135
- 0.0345514850000086,
136
- 0.03564676899998176,
137
- 0.035616233000041575,
138
- 0.03552321900002653,
139
- 0.03493004500001007,
140
- 0.036221479000005274,
141
- 0.03633594299998322,
142
- 0.03589243100003614,
143
- 0.03618766599998935,
144
- 0.03099282900001299,
145
- 0.03038090199999033,
146
- 0.030593410999983917,
147
- 0.0307409380000081
 
148
  ]
149
  },
150
  "throughput": {
151
  "unit": "samples/s",
152
- "value": 28.543176984789497
153
  },
154
  "energy": {
155
  "unit": "kWh",
156
- "cpu": 1.2164738443162706e-06,
157
- "ram": 5.083835673797056e-08,
158
  "gpu": 0.0,
159
- "total": 1.2673122010542413e-06
160
  },
161
  "efficiency": {
162
  "unit": "samples/kWh",
163
- "value": 789071.5477749904
164
  }
165
  }
166
  }
 
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
+ "cpu_ram_mb": 16757.354496,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.1",
83
+ "optimum_benchmark_commit": "619f91dd928d405e72e9e7724b958f1538ca7d80",
84
  "transformers_version": "4.41.0",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.30.1",
 
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 937.885696,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
107
  },
108
  "latency": {
109
  "unit": "s",
110
+ "count": 30,
111
+ "total": 1.0298006730001248,
112
+ "mean": 0.03432668910000416,
113
+ "stdev": 0.0025078193848490538,
114
+ "p50": 0.0357508940000173,
115
+ "p90": 0.03661396180002043,
116
+ "p95": 0.03670667980002804,
117
+ "p99": 0.03791118453999445,
118
  "values": [
119
+ 0.03675148900003933,
120
+ 0.03665191300001425,
121
+ 0.036234868999997616,
122
+ 0.0360182860000009,
123
+ 0.036066736000009314,
124
+ 0.036289300000021285,
125
+ 0.03637007999998332,
126
+ 0.03656882899997527,
127
+ 0.03660974500002112,
128
+ 0.035797295000008944,
129
+ 0.03610702099996388,
130
+ 0.035074251000025924,
131
+ 0.03543845800004419,
132
+ 0.03572948900000483,
133
+ 0.03600588299997298,
134
+ 0.03589974499999471,
135
+ 0.03577229900002976,
136
+ 0.035646546000009494,
137
+ 0.03838486299997612,
138
+ 0.03141213199995718,
139
+ 0.031007289000001492,
140
+ 0.03240445699998418,
141
+ 0.031130718999975215,
142
+ 0.030955784000013864,
143
+ 0.03083165300000701,
144
+ 0.03118788599999789,
145
+ 0.030702632000043195,
146
+ 0.03095049400002381,
147
+ 0.031033567999998013,
148
+ 0.030766962000029707
149
  ]
150
  },
151
  "throughput": {
152
  "unit": "samples/s",
153
+ "value": 29.131851227675753
154
  },
155
  "energy": {
156
  "unit": "kWh",
157
+ "cpu": 1.235406638847457e-06,
158
+ "ram": 5.1629428741248865e-08,
159
  "gpu": 0.0,
160
+ "total": 1.2870360675887059e-06
161
  },
162
  "efficiency": {
163
  "unit": "samples/kWh",
164
+ "value": 776979.002518185
165
  }
166
  }
167
  }