IlyasMoutawwakil HF staff commited on
Commit
909b8d8
1 Parent(s): 7dad5ee

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-6.5.0-1018-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": "8c941d382a8099afb1970de0d586e2ae6aa525e8",
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": 937.975808,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -107,59 +107,58 @@
107
  },
108
  "latency": {
109
  "unit": "s",
110
- "count": 28,
111
- "total": 1.0005242020000082,
112
- "mean": 0.03573300721428601,
113
- "stdev": 0.000725269618269867,
114
- "p50": 0.03597269100001199,
115
- "p90": 0.03641050549998113,
116
- "p95": 0.03647341194999285,
117
- "p99": 0.03653340446999891,
118
  "values": [
119
- 0.0363684299999818,
120
- 0.03608610300000237,
121
- 0.035256974999981594,
122
- 0.036030379999999695,
123
- 0.034260286000005635,
124
- 0.03602155200002244,
125
- 0.036400720999949954,
126
- 0.0363302590000103,
127
- 0.035435089000031894,
128
- 0.035868827999991026,
129
- 0.035638678999987405,
130
- 0.033900895000044784,
131
- 0.03600378900000578,
132
- 0.0364272599999822,
133
- 0.035903904000008424,
134
- 0.03538521500001934,
135
- 0.03592107600002237,
136
- 0.034531050999987656,
137
- 0.036546401999999034,
138
- 0.03470199099996307,
139
- 0.036072477999994135,
140
- 0.03649826299999859,
141
- 0.03580974800001968,
142
- 0.0359415930000182,
143
- 0.03439629900003638,
144
- 0.03605036599998357,
145
- 0.03633324499998025,
146
- 0.03640332499998067
147
  ]
148
  },
149
  "throughput": {
150
  "unit": "samples/s",
151
- "value": 27.98533003402527
152
  },
153
  "energy": {
154
  "unit": "kWh",
155
- "cpu": 1.1926643374793056e-06,
156
- "ram": 4.984338564000986e-08,
157
  "gpu": 0.0,
158
- "total": 1.2425077231193155e-06
159
  },
160
  "efficiency": {
161
  "unit": "samples/kWh",
162
- "value": 804823.9712261105
163
  }
164
  }
165
  }
 
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": "b0a0b933f18d5fa56eadb290a26cc2099f2dd4d8",
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": 938.401792,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
107
  },
108
  "latency": {
109
  "unit": "s",
110
+ "count": 27,
111
+ "total": 1.005901983000058,
112
+ "mean": 0.03725562900000215,
113
+ "stdev": 0.0014558307297570007,
114
+ "p50": 0.03749458900000491,
115
+ "p90": 0.03833436780004149,
116
+ "p95": 0.03879292840001654,
117
+ "p99": 0.04032149011997489,
118
  "values": [
119
+ 0.03888445600000523,
120
+ 0.03817103700004054,
121
+ 0.03808299199999965,
122
+ 0.03763023300001578,
123
+ 0.03570773499995994,
124
+ 0.04082639399996424,
125
+ 0.03767195100004983,
126
+ 0.038579364000042915,
127
+ 0.03758413599996402,
128
+ 0.03647331199999826,
129
+ 0.03749458900000491,
130
+ 0.03680966299998545,
131
+ 0.037210736000020006,
132
+ 0.03666839800001753,
133
+ 0.03736286100001962,
134
+ 0.03706638500000281,
135
+ 0.037455664999981764,
136
+ 0.03766506900001332,
137
+ 0.03790494800000488,
138
+ 0.03794350099997246,
139
+ 0.037067988000046626,
140
+ 0.036718752000012955,
141
+ 0.03815941599998496,
142
+ 0.03759613899995884,
143
+ 0.036395255999991605,
144
+ 0.034225854999988314,
145
+ 0.03254515200001151
 
146
  ]
147
  },
148
  "throughput": {
149
  "unit": "samples/s",
150
+ "value": 26.84158144263092
151
  },
152
  "energy": {
153
  "unit": "kWh",
154
+ "cpu": 1.2540079653263092e-06,
155
+ "ram": 5.240700893595296e-08,
156
  "gpu": 0.0,
157
+ "total": 1.3064149742622622e-06
158
  },
159
  "efficiency": {
160
  "unit": "samples/kWh",
161
+ "value": 765453.5654451634
162
  }
163
  }
164
  }