IlyasMoutawwakil HF staff commited on
Commit
cf3a706
1 Parent(s): fb0971c

Upload cpu_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4/benchmark.json with huggingface_hub

Browse files
cpu_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4/benchmark.json CHANGED
@@ -80,7 +80,7 @@
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
- "optimum_benchmark_commit": "6ad94507b5a05ceef8e5c33b1b3e8110ab062b31",
84
  "transformers_version": "4.44.0",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 553.541632,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -108,31 +108,31 @@
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
- "total": 17.72797159999999,
112
- "mean": 17.72797159999999,
113
  "stdev": 0.0,
114
- "p50": 17.72797159999999,
115
- "p90": 17.72797159999999,
116
- "p95": 17.72797159999999,
117
- "p99": 17.72797159999999,
118
  "values": [
119
- 17.72797159999999
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 0.0005704928096000005,
126
- "ram": 2.3847867109319714e-05,
127
  "gpu": 0,
128
- "total": 0.0005943406767093201
129
  },
130
  "efficiency": null
131
  },
132
  "call": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 5967.654912,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -141,31 +141,31 @@
141
  "latency": {
142
  "unit": "s",
143
  "count": 1,
144
- "total": 49.16715108899996,
145
- "mean": 49.16715108899996,
146
  "stdev": 0.0,
147
- "p50": 49.16715108899996,
148
- "p90": 49.16715108899996,
149
- "p95": 49.16715108899996,
150
- "p99": 49.16715108899996,
151
  "values": [
152
- 49.16715108899996
153
  ]
154
  },
155
  "throughput": {
156
  "unit": "images/s",
157
- "value": 0.020338782659785375
158
  },
159
  "energy": {
160
  "unit": "kWh",
161
- "cpu": 0.0019159827743777797,
162
- "ram": 8.009349925182507e-05,
163
  "gpu": 0.0,
164
- "total": 0.001996076273629605
165
  },
166
  "efficiency": {
167
  "unit": "images/kWh",
168
- "value": 500.9828598291137
169
  }
170
  }
171
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "1d3ac8856ad0ec2784b68a0c854b7df5e86f1ef5",
84
  "transformers_version": "4.44.0",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 553.893888,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 38.98620380800003,
112
+ "mean": 38.98620380800003,
113
  "stdev": 0.0,
114
+ "p50": 38.98620380800003,
115
+ "p90": 38.98620380800003,
116
+ "p95": 38.98620380800003,
117
+ "p99": 38.98620380800003,
118
  "values": [
119
+ 38.98620380800003
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 0.0013953175353055571,
126
+ "ram": 5.832816157209545e-05,
127
  "gpu": 0,
128
+ "total": 0.0014536456968776525
129
  },
130
  "efficiency": null
131
  },
132
  "call": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 5921.878016,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 1,
144
+ "total": 48.83058941799993,
145
+ "mean": 48.83058941799993,
146
  "stdev": 0.0,
147
+ "p50": 48.83058941799993,
148
+ "p90": 48.83058941799993,
149
+ "p95": 48.83058941799993,
150
+ "p99": 48.83058941799993,
151
  "values": [
152
+ 48.83058941799993
153
  ]
154
  },
155
  "throughput": {
156
  "unit": "images/s",
157
+ "value": 0.02047896640033962
158
  },
159
  "energy": {
160
  "unit": "kWh",
161
+ "cpu": 0.0019006962070055554,
162
+ "ram": 7.945443856005825e-05,
163
  "gpu": 0.0,
164
+ "total": 0.0019801506455656135
165
  },
166
  "efficiency": {
167
  "unit": "images/kWh",
168
+ "value": 505.01208190367674
169
  }
170
  }
171
  }