Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
Browse files
cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json
CHANGED
|
@@ -79,7 +79,7 @@
|
|
| 79 |
"processor": "x86_64",
|
| 80 |
"python_version": "3.10.15",
|
| 81 |
"optimum_benchmark_version": "0.5.0.dev0",
|
| 82 |
-
"optimum_benchmark_commit": "
|
| 83 |
"transformers_version": "4.46.3",
|
| 84 |
"transformers_commit": null,
|
| 85 |
"accelerate_version": "1.1.1",
|
|
@@ -100,7 +100,7 @@
|
|
| 100 |
"load": {
|
| 101 |
"memory": {
|
| 102 |
"unit": "MB",
|
| 103 |
-
"max_ram":
|
| 104 |
"max_global_vram": null,
|
| 105 |
"max_process_vram": null,
|
| 106 |
"max_reserved": null,
|
|
@@ -109,15 +109,15 @@
|
|
| 109 |
"latency": {
|
| 110 |
"unit": "s",
|
| 111 |
"values": [
|
| 112 |
-
1.
|
| 113 |
],
|
| 114 |
"count": 1,
|
| 115 |
-
"total": 1.
|
| 116 |
-
"mean": 1.
|
| 117 |
-
"p50": 1.
|
| 118 |
-
"p90": 1.
|
| 119 |
-
"p95": 1.
|
| 120 |
-
"p99": 1.
|
| 121 |
"stdev": 0,
|
| 122 |
"stdev_": 0
|
| 123 |
},
|
|
@@ -128,7 +128,7 @@
|
|
| 128 |
"forward": {
|
| 129 |
"memory": {
|
| 130 |
"unit": "MB",
|
| 131 |
-
"max_ram":
|
| 132 |
"max_global_vram": null,
|
| 133 |
"max_process_vram": null,
|
| 134 |
"max_reserved": null,
|
|
@@ -137,40 +137,40 @@
|
|
| 137 |
"latency": {
|
| 138 |
"unit": "s",
|
| 139 |
"values": [
|
| 140 |
-
0.
|
| 141 |
-
0.
|
| 142 |
-
0.
|
| 143 |
-
0.
|
| 144 |
-
0.
|
| 145 |
-
0.
|
| 146 |
-
0.
|
| 147 |
-
0.
|
| 148 |
-
0.
|
| 149 |
],
|
| 150 |
"count": 9,
|
| 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": 17.
|
| 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 |
}
|
|
|
|
| 79 |
"processor": "x86_64",
|
| 80 |
"python_version": "3.10.15",
|
| 81 |
"optimum_benchmark_version": "0.5.0.dev0",
|
| 82 |
+
"optimum_benchmark_commit": "66c837b53c9420caaed58be9b5b51d16360a0e19",
|
| 83 |
"transformers_version": "4.46.3",
|
| 84 |
"transformers_commit": null,
|
| 85 |
"accelerate_version": "1.1.1",
|
|
|
|
| 100 |
"load": {
|
| 101 |
"memory": {
|
| 102 |
"unit": "MB",
|
| 103 |
+
"max_ram": 986.120192,
|
| 104 |
"max_global_vram": null,
|
| 105 |
"max_process_vram": null,
|
| 106 |
"max_reserved": null,
|
|
|
|
| 109 |
"latency": {
|
| 110 |
"unit": "s",
|
| 111 |
"values": [
|
| 112 |
+
1.2862523900000156
|
| 113 |
],
|
| 114 |
"count": 1,
|
| 115 |
+
"total": 1.2862523900000156,
|
| 116 |
+
"mean": 1.2862523900000156,
|
| 117 |
+
"p50": 1.2862523900000156,
|
| 118 |
+
"p90": 1.2862523900000156,
|
| 119 |
+
"p95": 1.2862523900000156,
|
| 120 |
+
"p99": 1.2862523900000156,
|
| 121 |
"stdev": 0,
|
| 122 |
"stdev_": 0
|
| 123 |
},
|
|
|
|
| 128 |
"forward": {
|
| 129 |
"memory": {
|
| 130 |
"unit": "MB",
|
| 131 |
+
"max_ram": 922.60352,
|
| 132 |
"max_global_vram": null,
|
| 133 |
"max_process_vram": null,
|
| 134 |
"max_reserved": null,
|
|
|
|
| 137 |
"latency": {
|
| 138 |
"unit": "s",
|
| 139 |
"values": [
|
| 140 |
+
0.1488789769999812,
|
| 141 |
+
0.14998495400004686,
|
| 142 |
+
0.15223828400002049,
|
| 143 |
+
0.15048637500001405,
|
| 144 |
+
0.12061162399999148,
|
| 145 |
+
0.08044429800003172,
|
| 146 |
+
0.0789134439999657,
|
| 147 |
+
0.07843024599998216,
|
| 148 |
+
0.07838870799997721
|
| 149 |
],
|
| 150 |
"count": 9,
|
| 151 |
+
"total": 1.0383769100000109,
|
| 152 |
+
"mean": 0.11537521222222342,
|
| 153 |
+
"p50": 0.12061162399999148,
|
| 154 |
+
"p90": 0.15083675680001535,
|
| 155 |
+
"p95": 0.15153752040001792,
|
| 156 |
+
"p99": 0.15209813128001998,
|
| 157 |
+
"stdev": 0.03370129841721789,
|
| 158 |
+
"stdev_": 29.210172417543244
|
| 159 |
},
|
| 160 |
"throughput": {
|
| 161 |
"unit": "samples/s",
|
| 162 |
+
"value": 17.334746012408743
|
| 163 |
},
|
| 164 |
"energy": {
|
| 165 |
"unit": "kWh",
|
| 166 |
+
"cpu": 3.123475178205199e-06,
|
| 167 |
+
"ram": 1.305345377351922e-07,
|
| 168 |
"gpu": 0.0,
|
| 169 |
+
"total": 3.2540097159403915e-06
|
| 170 |
},
|
| 171 |
"efficiency": {
|
| 172 |
"unit": "samples/kWh",
|
| 173 |
+
"value": 614626.3147902159
|
| 174 |
}
|
| 175 |
}
|
| 176 |
}
|