IlyasMoutawwakil HF staff commited on
Commit
87a1d3b
1 Parent(s): 5db0538

Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub

Browse files
cpu_inference_transformers_multiple-choice_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": 16757.338112,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1022-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": "d920fe9626db1e7915f6d3574b5b54b0159cd100",
84
  "transformers_version": "4.42.3",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.31.0",
@@ -99,7 +99,7 @@
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 942.379008,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -107,56 +107,54 @@
107
  },
108
  "latency": {
109
  "unit": "s",
110
- "count": 25,
111
- "total": 1.0359930630000918,
112
- "mean": 0.04143972252000367,
113
- "stdev": 0.0007665022351241194,
114
- "p50": 0.04148488999999245,
115
- "p90": 0.042040176200021054,
116
- "p95": 0.042152350600008506,
117
- "p99": 0.04375422708000542,
118
  "values": [
119
- 0.04216107100000954,
120
- 0.04161525299997493,
121
- 0.04161107599998104,
122
- 0.04146869900000638,
123
- 0.04137253999999757,
124
- 0.0418630149999899,
125
- 0.04137262000000419,
126
- 0.04148488999999245,
127
- 0.04148896700002069,
128
- 0.04149640100001761,
129
- 0.041924237000046105,
130
- 0.041202303000034135,
131
- 0.04158726100001786,
132
- 0.04110388999998804,
133
- 0.041526998999984244,
134
- 0.04211746900000435,
135
- 0.04160354200001848,
136
- 0.040779235000002245,
137
- 0.04143717099998412,
138
- 0.04425732900000412,
139
- 0.04049497500000143,
140
- 0.040192391000005045,
141
- 0.04087252800002261,
142
- 0.04044404000001123,
143
- 0.04051516099997343
144
  ]
145
  },
146
  "throughput": {
147
  "unit": "samples/s",
148
- "value": 24.131435714061134
149
  },
150
  "energy": {
151
  "unit": "kWh",
152
- "cpu": 1.5882180002000598e-06,
153
- "ram": 6.63744527190905e-08,
154
  "gpu": 0.0,
155
- "total": 1.6545924529191503e-06
156
  },
157
  "efficiency": {
158
  "unit": "samples/kWh",
159
- "value": 604378.436657153
160
  }
161
  }
162
  }
 
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-6.5.0-1022-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": "8320ce6f24eaa5099bd3b49d8d44c0c1368af14b",
84
  "transformers_version": "4.42.3",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.31.0",
 
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 940.855296,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
107
  },
108
  "latency": {
109
  "unit": "s",
110
+ "count": 23,
111
+ "total": 1.0109069459998636,
112
+ "mean": 0.043952475913037546,
113
+ "stdev": 0.002690191776241236,
114
+ "p50": 0.045675732999995944,
115
+ "p90": 0.046146917800001575,
116
+ "p95": 0.046251492899995125,
117
+ "p99": 0.04769497614001353,
118
  "values": [
119
+ 0.04614965700000084,
120
+ 0.04574002300000757,
121
+ 0.045675732999995944,
122
+ 0.04626280799999449,
123
+ 0.04608243100000209,
124
+ 0.04565188899999839,
125
+ 0.045779786999958105,
126
+ 0.04599737199998799,
127
+ 0.04536042500001258,
128
+ 0.04589433099999951,
129
+ 0.04610487299999022,
130
+ 0.0461359610000045,
131
+ 0.04595899099996359,
132
+ 0.04809892100001889,
133
+ 0.04120521599998028,
134
+ 0.040454695999983414,
135
+ 0.040589898999996876,
136
+ 0.040434609999977056,
137
+ 0.04168873800000483,
138
+ 0.040441942999962066,
139
+ 0.04048590500002547,
140
+ 0.040278348000015285,
141
+ 0.04043438899998364
 
 
142
  ]
143
  },
144
  "throughput": {
145
  "unit": "samples/s",
146
+ "value": 22.751846835171616
147
  },
148
  "energy": {
149
  "unit": "kWh",
150
+ "cpu": 1.5910229153103301e-06,
151
+ "ram": 6.649203316615057e-08,
152
  "gpu": 0.0,
153
+ "total": 1.6575149484764806e-06
154
  },
155
  "efficiency": {
156
  "unit": "samples/kWh",
157
+ "value": 603312.8092866726
158
  }
159
  }
160
  }