IlyasMoutawwakil HF staff commited on
Commit
95147f1
1 Parent(s): 9b8914f

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": "0.3.1",
83
- "optimum_benchmark_commit": "dcd8d39eb1efde5484c10fe67e911bfe5a0711c9",
84
  "transformers_version": "4.42.4",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.32.1",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 551.940096,
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": 23.551284392000014,
112
- "mean": 23.551284392000014,
113
  "stdev": 0.0,
114
- "p50": 23.551284392000014,
115
- "p90": 23.551284392000014,
116
- "p95": 23.551284392000014,
117
- "p99": 23.551284392000014,
118
  "values": [
119
- 23.551284392000014
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 0.0007880420313941108,
126
- "ram": 3.294215771679432e-05,
127
  "gpu": 0,
128
- "total": 0.0008209841891109052
129
  },
130
  "efficiency": null
131
  },
132
  "call": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 5940.49024,
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": 49.806264337000016,
145
- "mean": 49.806264337000016,
146
  "stdev": 0.0,
147
- "p50": 49.806264337000016,
148
- "p90": 49.806264337000016,
149
- "p95": 49.806264337000016,
150
- "p99": 49.806264337000016,
151
  "values": [
152
- 49.806264337000016
153
  ]
154
  },
155
  "throughput": {
156
  "unit": "images/s",
157
- "value": 0.020077795701235142
158
  },
159
  "energy": {
160
  "unit": "kWh",
161
- "cpu": 0.0019422404739591812,
162
- "ram": 8.11911175969999e-05,
163
  "gpu": 0.0,
164
- "total": 0.0020234315915561812
165
  },
166
  "efficiency": {
167
  "unit": "images/kWh",
168
- "value": 494.20993730305446
169
  }
170
  }
171
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.3.1",
83
+ "optimum_benchmark_commit": "8bf68d01ce920e01ece8935a1cc6d7e3f17c2d2b",
84
  "transformers_version": "4.42.4",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.32.1",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 552.030208,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 20.024146076999955,
112
+ "mean": 20.024146076999955,
113
  "stdev": 0.0,
114
+ "p50": 20.024146076999955,
115
+ "p90": 20.024146076999955,
116
+ "p95": 20.024146076999955,
117
+ "p99": 20.024146076999955,
118
  "values": [
119
+ 20.024146076999955
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 0.0006614698847134909,
126
+ "ram": 2.7650963035868016e-05,
127
  "gpu": 0,
128
+ "total": 0.0006891208477493589
129
  },
130
  "efficiency": null
131
  },
132
  "call": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 5939.9168,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 1,
144
+ "total": 48.79755449300001,
145
+ "mean": 48.79755449300001,
146
  "stdev": 0.0,
147
+ "p50": 48.79755449300001,
148
+ "p90": 48.79755449300001,
149
+ "p95": 48.79755449300001,
150
+ "p99": 48.79755449300001,
151
  "values": [
152
+ 48.79755449300001
153
  ]
154
  },
155
  "throughput": {
156
  "unit": "images/s",
157
+ "value": 0.020492830232782457
158
  },
159
  "energy": {
160
  "unit": "kWh",
161
+ "cpu": 0.001896936431196001,
162
+ "ram": 7.929728827048506e-05,
163
  "gpu": 0.0,
164
+ "total": 0.0019762337194664864
165
  },
166
  "efficiency": {
167
  "unit": "images/kWh",
168
+ "value": 506.01302373788303
169
  }
170
  }
171
  }