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
|
@@ -78,7 +78,7 @@
|
|
| 78 |
"processor": "x86_64",
|
| 79 |
"python_version": "3.10.14",
|
| 80 |
"optimum_benchmark_version": "0.2.0",
|
| 81 |
-
"optimum_benchmark_commit": "
|
| 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.
|
| 101 |
"max_global_vram": null,
|
| 102 |
"max_process_vram": null,
|
| 103 |
"max_reserved": null,
|
|
@@ -105,58 +105,63 @@
|
|
| 105 |
},
|
| 106 |
"latency": {
|
| 107 |
"unit": "s",
|
| 108 |
-
"count":
|
| 109 |
-
"total": 1.
|
| 110 |
-
"mean": 0.
|
| 111 |
-
"stdev": 0.
|
| 112 |
-
"p50": 0.
|
| 113 |
-
"p90": 0.
|
| 114 |
-
"p95": 0.
|
| 115 |
-
"p99": 0.
|
| 116 |
"values": [
|
| 117 |
-
0.
|
| 118 |
-
0.
|
| 119 |
-
0.
|
| 120 |
-
0.
|
| 121 |
-
0.
|
| 122 |
-
0.
|
| 123 |
-
0.
|
| 124 |
-
0.
|
| 125 |
-
0.
|
| 126 |
-
0.
|
| 127 |
-
0.
|
| 128 |
-
0.
|
| 129 |
-
0.
|
| 130 |
-
0.
|
| 131 |
-
0.
|
| 132 |
-
0.
|
| 133 |
-
0.
|
| 134 |
-
0.
|
| 135 |
-
0.
|
| 136 |
-
0.
|
| 137 |
-
0.
|
| 138 |
-
0.
|
| 139 |
-
0.
|
| 140 |
-
0.
|
| 141 |
-
0.
|
| 142 |
-
0.
|
| 143 |
-
0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 144 |
]
|
| 145 |
},
|
| 146 |
"throughput": {
|
| 147 |
"unit": "samples/s",
|
| 148 |
-
"value":
|
| 149 |
},
|
| 150 |
"energy": {
|
| 151 |
"unit": "kWh",
|
| 152 |
-
"cpu": 1.
|
| 153 |
-
"ram": 5.
|
| 154 |
"gpu": 0.0,
|
| 155 |
-
"total": 1.
|
| 156 |
},
|
| 157 |
"efficiency": {
|
| 158 |
"unit": "samples/kWh",
|
| 159 |
-
"value":
|
| 160 |
}
|
| 161 |
}
|
| 162 |
}
|
|
|
|
| 78 |
"processor": "x86_64",
|
| 79 |
"python_version": "3.10.14",
|
| 80 |
"optimum_benchmark_version": "0.2.0",
|
| 81 |
+
"optimum_benchmark_commit": "6351381d30af027b495f2efc26253328f9283823",
|
| 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": 936.214528,
|
| 101 |
"max_global_vram": null,
|
| 102 |
"max_process_vram": null,
|
| 103 |
"max_reserved": null,
|
|
|
|
| 105 |
},
|
| 106 |
"latency": {
|
| 107 |
"unit": "s",
|
| 108 |
+
"count": 32,
|
| 109 |
+
"total": 1.0202524450000965,
|
| 110 |
+
"mean": 0.031882888906253015,
|
| 111 |
+
"stdev": 0.0009381103126011306,
|
| 112 |
+
"p50": 0.031623032500021964,
|
| 113 |
+
"p90": 0.032207659299984925,
|
| 114 |
+
"p95": 0.03350232790000405,
|
| 115 |
+
"p99": 0.03540876693998598,
|
| 116 |
"values": [
|
| 117 |
+
0.03208833299999014,
|
| 118 |
+
0.031850179000002754,
|
| 119 |
+
0.032265223000024434,
|
| 120 |
+
0.031477596000001995,
|
| 121 |
+
0.03130980800000316,
|
| 122 |
+
0.03144559700001537,
|
| 123 |
+
0.03147380899997643,
|
| 124 |
+
0.031588082000041595,
|
| 125 |
+
0.03189879199999268,
|
| 126 |
+
0.031755785000029846,
|
| 127 |
+
0.03221667399998296,
|
| 128 |
+
0.031565409999984695,
|
| 129 |
+
0.03154536300002064,
|
| 130 |
+
0.03165798300000233,
|
| 131 |
+
0.031571460999998635,
|
| 132 |
+
0.03188948500002198,
|
| 133 |
+
0.03156923699998515,
|
| 134 |
+
0.031879336000031344,
|
| 135 |
+
0.031159203000015623,
|
| 136 |
+
0.03147135500000786,
|
| 137 |
+
0.032126527000002625,
|
| 138 |
+
0.031894518000001426,
|
| 139 |
+
0.031138769999984106,
|
| 140 |
+
0.03157228700001724,
|
| 141 |
+
0.031895669999983056,
|
| 142 |
+
0.03182205299998486,
|
| 143 |
+
0.031051717000025292,
|
| 144 |
+
0.031067345999986173,
|
| 145 |
+
0.031924525000022186,
|
| 146 |
+
0.03501434499997913,
|
| 147 |
+
0.031480004999991706,
|
| 148 |
+
0.03558597099998906
|
| 149 |
]
|
| 150 |
},
|
| 151 |
"throughput": {
|
| 152 |
"unit": "samples/s",
|
| 153 |
+
"value": 31.36478638872262
|
| 154 |
},
|
| 155 |
"energy": {
|
| 156 |
"unit": "kWh",
|
| 157 |
+
"cpu": 1.2029675923613988e-06,
|
| 158 |
+
"ram": 5.0270465132097216e-08,
|
| 159 |
"gpu": 0.0,
|
| 160 |
+
"total": 1.253238057493496e-06
|
| 161 |
},
|
| 162 |
"efficiency": {
|
| 163 |
"unit": "samples/kWh",
|
| 164 |
+
"value": 797932.99766209
|
| 165 |
}
|
| 166 |
}
|
| 167 |
}
|