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
|
@@ -80,7 +80,7 @@
|
|
| 80 |
"processor": "x86_64",
|
| 81 |
"python_version": "3.10.14",
|
| 82 |
"optimum_benchmark_version": "0.2.0",
|
| 83 |
-
"optimum_benchmark_commit": "
|
| 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": 938.
|
| 103 |
"max_global_vram": null,
|
| 104 |
"max_process_vram": null,
|
| 105 |
"max_reserved": null,
|
|
@@ -107,58 +107,62 @@
|
|
| 107 |
},
|
| 108 |
"latency": {
|
| 109 |
"unit": "s",
|
| 110 |
-
"count":
|
| 111 |
-
"total": 1.
|
| 112 |
-
"mean": 0.
|
| 113 |
-
"stdev": 0.
|
| 114 |
-
"p50": 0.
|
| 115 |
-
"p90": 0.
|
| 116 |
-
"p95": 0.
|
| 117 |
-
"p99": 0.
|
| 118 |
"values": [
|
| 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 |
-
0.
|
| 145 |
-
0.
|
|
|
|
|
|
|
|
|
|
|
|
|
| 146 |
]
|
| 147 |
},
|
| 148 |
"throughput": {
|
| 149 |
"unit": "samples/s",
|
| 150 |
-
"value":
|
| 151 |
},
|
| 152 |
"energy": {
|
| 153 |
"unit": "kWh",
|
| 154 |
-
"cpu": 1.
|
| 155 |
-
"ram": 5.
|
| 156 |
"gpu": 0.0,
|
| 157 |
-
"total": 1.
|
| 158 |
},
|
| 159 |
"efficiency": {
|
| 160 |
"unit": "samples/kWh",
|
| 161 |
-
"value":
|
| 162 |
}
|
| 163 |
}
|
| 164 |
}
|
|
|
|
| 80 |
"processor": "x86_64",
|
| 81 |
"python_version": "3.10.14",
|
| 82 |
"optimum_benchmark_version": "0.2.0",
|
| 83 |
+
"optimum_benchmark_commit": "70875ef900aa5b32d2b7eeaedc4a76bc99f650db",
|
| 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": 938.139648,
|
| 103 |
"max_global_vram": null,
|
| 104 |
"max_process_vram": null,
|
| 105 |
"max_reserved": null,
|
|
|
|
| 107 |
},
|
| 108 |
"latency": {
|
| 109 |
"unit": "s",
|
| 110 |
+
"count": 31,
|
| 111 |
+
"total": 1.0141728780001245,
|
| 112 |
+
"mean": 0.032715254129036274,
|
| 113 |
+
"stdev": 0.0005976728100066315,
|
| 114 |
+
"p50": 0.03255317099996091,
|
| 115 |
+
"p90": 0.033625195000013264,
|
| 116 |
+
"p95": 0.03367818449999049,
|
| 117 |
+
"p99": 0.03439317479998181,
|
| 118 |
"values": [
|
| 119 |
+
0.032726695999997446,
|
| 120 |
+
0.032308700999976736,
|
| 121 |
+
0.032540656000037416,
|
| 122 |
+
0.03221091699998624,
|
| 123 |
+
0.031932845000028465,
|
| 124 |
+
0.03255317099996091,
|
| 125 |
+
0.03267785499997444,
|
| 126 |
+
0.03217025100002502,
|
| 127 |
+
0.03264928100003317,
|
| 128 |
+
0.0323256430000356,
|
| 129 |
+
0.032312969000031444,
|
| 130 |
+
0.032384815000000344,
|
| 131 |
+
0.03197832000000744,
|
| 132 |
+
0.03207892900002207,
|
| 133 |
+
0.033625195000013264,
|
| 134 |
+
0.03365021199999774,
|
| 135 |
+
0.0333262440000226,
|
| 136 |
+
0.03331711600003473,
|
| 137 |
+
0.03315819699997746,
|
| 138 |
+
0.03266425000003892,
|
| 139 |
+
0.03254482500000222,
|
| 140 |
+
0.032110228000021834,
|
| 141 |
+
0.03242504999997209,
|
| 142 |
+
0.032388390999983585,
|
| 143 |
+
0.032984021000004304,
|
| 144 |
+
0.03468761099998119,
|
| 145 |
+
0.03294453500001282,
|
| 146 |
+
0.03271607699997503,
|
| 147 |
+
0.03370615699998325,
|
| 148 |
+
0.03241823700000168,
|
| 149 |
+
0.032655482999985
|
| 150 |
]
|
| 151 |
},
|
| 152 |
"throughput": {
|
| 153 |
"unit": "samples/s",
|
| 154 |
+
"value": 30.566780745635555
|
| 155 |
},
|
| 156 |
"energy": {
|
| 157 |
"unit": "kWh",
|
| 158 |
+
"cpu": 1.2507944057385129e-06,
|
| 159 |
+
"ram": 5.2272829605722514e-08,
|
| 160 |
"gpu": 0.0,
|
| 161 |
+
"total": 1.3030672353442354e-06
|
| 162 |
},
|
| 163 |
"efficiency": {
|
| 164 |
"unit": "samples/kWh",
|
| 165 |
+
"value": 767420.1091671428
|
| 166 |
}
|
| 167 |
}
|
| 168 |
}
|