IlyasMoutawwakil HF staff commited on
Commit
feaad78
1 Parent(s): 8fcbfd4

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": "d662120356cf9cce87fb802aea1c49ce74710c29",
84
  "transformers_version": "4.43.3",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 558.075904,
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": 19.749972805000027,
112
- "mean": 19.749972805000027,
113
  "stdev": 0.0,
114
- "p50": 19.749972805000027,
115
- "p90": 19.749972805000027,
116
- "p95": 19.749972805000027,
117
- "p99": 19.749972805000027,
118
  "values": [
119
- 19.749972805000027
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 0.0006483029445012411,
126
- "ram": 2.710062623680898e-05,
127
  "gpu": 0,
128
- "total": 0.0006754035707380501
129
  },
130
  "efficiency": null
131
  },
132
  "call": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 5867.25376,
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": 48.94376442600003,
145
- "mean": 48.94376442600003,
146
  "stdev": 0.0,
147
- "p50": 48.94376442600003,
148
- "p90": 48.94376442600003,
149
- "p95": 48.94376442600003,
150
- "p99": 48.94376442600003,
151
  "values": [
152
- 48.94376442600003
153
  ]
154
  },
155
  "throughput": {
156
  "unit": "images/s",
157
- "value": 0.02043161190659821
158
  },
159
  "energy": {
160
  "unit": "kWh",
161
- "cpu": 0.0019051038318210179,
162
- "ram": 7.963868527722468e-05,
163
  "gpu": 0.0,
164
- "total": 0.0019847425170982425
165
  },
166
  "efficiency": {
167
  "unit": "images/kWh",
168
- "value": 503.84369326759435
169
  }
170
  }
171
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "2680e6fb8019f9b6eb6fcaa00b283acdac4d3d3d",
84
  "transformers_version": "4.43.3",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 558.170112,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 19.526288953999995,
112
+ "mean": 19.526288953999995,
113
  "stdev": 0.0,
114
+ "p50": 19.526288953999995,
115
+ "p90": 19.526288953999995,
116
+ "p95": 19.526288953999995,
117
+ "p99": 19.526288953999995,
118
  "values": [
119
+ 19.526288953999995
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 0.0006376964026027256,
126
+ "ram": 2.6657171010301113e-05,
127
  "gpu": 0,
128
+ "total": 0.0006643535736130267
129
  },
130
  "efficiency": null
131
  },
132
  "call": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 5897.551872,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 1,
144
+ "total": 49.403305461999935,
145
+ "mean": 49.403305461999935,
146
  "stdev": 0.0,
147
+ "p50": 49.403305461999935,
148
+ "p90": 49.403305461999935,
149
+ "p95": 49.403305461999935,
150
+ "p99": 49.403305461999935,
151
  "values": [
152
+ 49.403305461999935
153
  ]
154
  },
155
  "throughput": {
156
  "unit": "images/s",
157
+ "value": 0.02024156057268639
158
  },
159
  "energy": {
160
  "unit": "kWh",
161
+ "cpu": 0.001898977467748854,
162
+ "ram": 7.93826436244197e-05,
163
  "gpu": 0.0,
164
+ "total": 0.0019783601113732736
165
  },
166
  "efficiency": {
167
  "unit": "images/kWh",
168
+ "value": 505.46914803384936
169
  }
170
  }
171
  }