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
|
@@ -80,7 +80,7 @@
|
|
| 80 |
"processor": "x86_64",
|
| 81 |
"python_version": "3.10.15",
|
| 82 |
"optimum_benchmark_version": "0.5.0.dev0",
|
| 83 |
-
"optimum_benchmark_commit": "
|
| 84 |
"transformers_version": "4.46.3",
|
| 85 |
"transformers_commit": null,
|
| 86 |
"accelerate_version": "1.1.1",
|
|
@@ -101,7 +101,7 @@
|
|
| 101 |
"load": {
|
| 102 |
"memory": {
|
| 103 |
"unit": "MB",
|
| 104 |
-
"max_ram": 964.
|
| 105 |
"max_global_vram": null,
|
| 106 |
"max_process_vram": null,
|
| 107 |
"max_reserved": null,
|
|
@@ -110,15 +110,15 @@
|
|
| 110 |
"latency": {
|
| 111 |
"unit": "s",
|
| 112 |
"values": [
|
| 113 |
-
1.
|
| 114 |
],
|
| 115 |
"count": 1,
|
| 116 |
-
"total": 1.
|
| 117 |
-
"mean": 1.
|
| 118 |
-
"p50": 1.
|
| 119 |
-
"p90": 1.
|
| 120 |
-
"p95": 1.
|
| 121 |
-
"p99": 1.
|
| 122 |
"stdev": 0,
|
| 123 |
"stdev_": 0
|
| 124 |
},
|
|
@@ -129,7 +129,7 @@
|
|
| 129 |
"forward": {
|
| 130 |
"memory": {
|
| 131 |
"unit": "MB",
|
| 132 |
-
"max_ram": 980.
|
| 133 |
"max_global_vram": null,
|
| 134 |
"max_process_vram": null,
|
| 135 |
"max_reserved": null,
|
|
@@ -138,39 +138,41 @@
|
|
| 138 |
"latency": {
|
| 139 |
"unit": "s",
|
| 140 |
"values": [
|
| 141 |
-
0.
|
| 142 |
-
0.
|
| 143 |
-
0.
|
| 144 |
-
0.
|
| 145 |
-
0.
|
| 146 |
-
0.
|
| 147 |
-
0.
|
| 148 |
-
0.
|
|
|
|
|
|
|
| 149 |
],
|
| 150 |
-
"count":
|
| 151 |
-
"total": 1.
|
| 152 |
-
"mean": 0.
|
| 153 |
-
"p50": 0.
|
| 154 |
-
"p90": 0.
|
| 155 |
-
"p95": 0.
|
| 156 |
-
"p99": 0.
|
| 157 |
-
"stdev": 0.
|
| 158 |
-
"stdev_":
|
| 159 |
},
|
| 160 |
"throughput": {
|
| 161 |
"unit": "samples/s",
|
| 162 |
-
"value":
|
| 163 |
},
|
| 164 |
"energy": {
|
| 165 |
"unit": "kWh",
|
| 166 |
-
"cpu": 3.
|
| 167 |
-
"ram": 1.
|
| 168 |
"gpu": 0.0,
|
| 169 |
-
"total": 3.
|
| 170 |
},
|
| 171 |
"efficiency": {
|
| 172 |
"unit": "samples/kWh",
|
| 173 |
-
"value":
|
| 174 |
}
|
| 175 |
}
|
| 176 |
}
|
|
|
|
| 80 |
"processor": "x86_64",
|
| 81 |
"python_version": "3.10.15",
|
| 82 |
"optimum_benchmark_version": "0.5.0.dev0",
|
| 83 |
+
"optimum_benchmark_commit": "30d59f77b3a4baa0f318abd9cdf0d949062137ca",
|
| 84 |
"transformers_version": "4.46.3",
|
| 85 |
"transformers_commit": null,
|
| 86 |
"accelerate_version": "1.1.1",
|
|
|
|
| 101 |
"load": {
|
| 102 |
"memory": {
|
| 103 |
"unit": "MB",
|
| 104 |
+
"max_ram": 964.386816,
|
| 105 |
"max_global_vram": null,
|
| 106 |
"max_process_vram": null,
|
| 107 |
"max_reserved": null,
|
|
|
|
| 110 |
"latency": {
|
| 111 |
"unit": "s",
|
| 112 |
"values": [
|
| 113 |
+
1.2113253199999576
|
| 114 |
],
|
| 115 |
"count": 1,
|
| 116 |
+
"total": 1.2113253199999576,
|
| 117 |
+
"mean": 1.2113253199999576,
|
| 118 |
+
"p50": 1.2113253199999576,
|
| 119 |
+
"p90": 1.2113253199999576,
|
| 120 |
+
"p95": 1.2113253199999576,
|
| 121 |
+
"p99": 1.2113253199999576,
|
| 122 |
"stdev": 0,
|
| 123 |
"stdev_": 0
|
| 124 |
},
|
|
|
|
| 129 |
"forward": {
|
| 130 |
"memory": {
|
| 131 |
"unit": "MB",
|
| 132 |
+
"max_ram": 980.770816,
|
| 133 |
"max_global_vram": null,
|
| 134 |
"max_process_vram": null,
|
| 135 |
"max_reserved": null,
|
|
|
|
| 138 |
"latency": {
|
| 139 |
"unit": "s",
|
| 140 |
"values": [
|
| 141 |
+
0.10548634399998491,
|
| 142 |
+
0.10358494999996992,
|
| 143 |
+
0.102930151999999,
|
| 144 |
+
0.1041886810000392,
|
| 145 |
+
0.10284045399998831,
|
| 146 |
+
0.10489707900001122,
|
| 147 |
+
0.10418372200001613,
|
| 148 |
+
0.10409736999997676,
|
| 149 |
+
0.11240097799998239,
|
| 150 |
+
0.10382113299999673
|
| 151 |
],
|
| 152 |
+
"count": 10,
|
| 153 |
+
"total": 1.0484308629999646,
|
| 154 |
+
"mean": 0.10484308629999646,
|
| 155 |
+
"p50": 0.10414054599999645,
|
| 156 |
+
"p90": 0.10617780739998466,
|
| 157 |
+
"p95": 0.10928939269998351,
|
| 158 |
+
"p99": 0.11177866093998262,
|
| 159 |
+
"stdev": 0.0026316282463096636,
|
| 160 |
+
"stdev_": 2.5100636953585678
|
| 161 |
},
|
| 162 |
"throughput": {
|
| 163 |
"unit": "samples/s",
|
| 164 |
+
"value": 19.076126720241994
|
| 165 |
},
|
| 166 |
"energy": {
|
| 167 |
"unit": "kWh",
|
| 168 |
+
"cpu": 3.6935821116160967e-06,
|
| 169 |
+
"ram": 1.5436046939377148e-07,
|
| 170 |
"gpu": 0.0,
|
| 171 |
+
"total": 3.847942581009868e-06
|
| 172 |
},
|
| 173 |
"efficiency": {
|
| 174 |
"unit": "samples/kWh",
|
| 175 |
+
"value": 519758.2754665514
|
| 176 |
}
|
| 177 |
}
|
| 178 |
}
|