IlyasMoutawwakil HF staff commited on
Commit
16d3d68
1 Parent(s): 016813e

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": "3.10.15",
82
  "optimum_benchmark_version": "0.4.0",
83
- "optimum_benchmark_commit": "39ca491b78042552094f1505a2e66a0a588b62e8",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.34.2",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 546.164736,
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": 21.64519759799998,
112
- "mean": 21.64519759799998,
113
  "stdev": 0.0,
114
- "p50": 21.64519759799998,
115
- "p90": 21.64519759799998,
116
- "p95": 21.64519759799998,
117
- "p99": 21.64519759799998,
118
  "values": [
119
- 21.64519759799998
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 0.0007227810204222222,
126
- "ram": 3.0231086835281796e-05,
127
  "gpu": 0,
128
- "total": 0.000753012107257504
129
  },
130
  "efficiency": null
131
  },
132
  "call": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 5900.951552,
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": 49.40999486199996,
145
- "mean": 49.40999486199996,
146
  "stdev": 0.0,
147
- "p50": 49.40999486199996,
148
- "p90": 49.40999486199996,
149
- "p95": 49.40999486199996,
150
- "p99": 49.40999486199996,
151
  "values": [
152
- 49.40999486199996
153
  ]
154
  },
155
  "throughput": {
156
  "unit": "images/s",
157
- "value": 0.020238820157600864
158
  },
159
  "energy": {
160
  "unit": "kWh",
161
- "cpu": 0.0019200236965388894,
162
- "ram": 8.03076302779895e-05,
163
  "gpu": 0.0,
164
- "total": 0.002000331326816879
165
  },
166
  "efficiency": {
167
  "unit": "images/kWh",
168
- "value": 499.91718201568983
169
  }
170
  }
171
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.15",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "c48d602cd7a21df41cc07305fa12549ed74a7e13",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.34.2",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 544.768,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 15.697051296999973,
112
+ "mean": 15.697051296999973,
113
  "stdev": 0.0,
114
+ "p50": 15.697051296999973,
115
+ "p90": 15.697051296999973,
116
+ "p95": 15.697051296999973,
117
+ "p99": 15.697051296999973,
118
  "values": [
119
+ 15.697051296999973
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 0.0004884842678722218,
126
+ "ram": 2.0431194886348743e-05,
127
  "gpu": 0,
128
+ "total": 0.0005089154627585705
129
  },
130
  "efficiency": null
131
  },
132
  "call": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 5907.132416,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 1,
144
+ "total": 49.27566819000003,
145
+ "mean": 49.27566819000003,
146
  "stdev": 0.0,
147
+ "p50": 49.27566819000003,
148
+ "p90": 49.27566819000003,
149
+ "p95": 49.27566819000003,
150
+ "p99": 49.27566819000003,
151
  "values": [
152
+ 49.27566819000003
153
  ]
154
  },
155
  "throughput": {
156
  "unit": "images/s",
157
+ "value": 0.02029399167443333
158
  },
159
  "energy": {
160
  "unit": "kWh",
161
+ "cpu": 0.0019246416162555548,
162
+ "ram": 8.050068766495832e-05,
163
  "gpu": 0.0,
164
+ "total": 0.002005142303920513
165
  },
166
  "efficiency": {
167
  "unit": "images/kWh",
168
+ "value": 498.71772095415406
169
  }
170
  }
171
  }