| User | djoleek |
| Upload Date | December 30 2024 10:23 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 UD AC |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 UD AC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3342
621.5 IPS |
|
|
Image Classification (HP)
|
100% |
575
106.9 IPS |
|
|
Image Classification (Q)
|
99% |
6205
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2056
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1161
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3176
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7316
8.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
4562
5.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
24830
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
3231
256.3 IPS |
|
|
Object Detection (HP)
|
100% |
761
60.3 IPS |
|
|
Object Detection (Q)
|
86% |
5865
471.4 IPS |
|
|
Face Detection (SP)
|
100% |
8614
102.4 IPS |
|
|
Face Detection (HP)
|
100% |
1952
23.2 IPS |
|
|
Face Detection (Q)
|
97% |
9968
118.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9607
74.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2260
17.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
16084
128.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17055
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11292
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26509
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3242
119.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2258
83.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5222
193.3 IPS |
|
|
Text Classification (SP)
|
100% |
1764
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
826
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
587
786.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2052
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
865
14.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3093
62.1 IPS |