| User | treex |
| Upload Date | September 05 2024 01:47 PM |
| Views | 16 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13600KF |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 GAMING X |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 GAMING X |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| 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% |
2383
443.1 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.8 IPS |
|
|
Image Classification (Q)
|
99% |
4148
773.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2165
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
327
5.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
3033
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7595
8.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
4601
5.37 IPS |
|
|
Pose Estimation (Q)
|
95% |
26139
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
2750
218.1 IPS |
|
|
Object Detection (HP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (Q)
|
88% |
2446
196.1 IPS |
|
|
Face Detection (SP)
|
100% |
5210
61.9 IPS |
|
|
Face Detection (HP)
|
100% |
366
4.35 IPS |
|
|
Face Detection (Q)
|
97% |
5572
66.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9068
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1097
8.45 IPS |
|
|
Depth Estimation (Q)
|
76% |
10907
87.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17981
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11377
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25976
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3484
128.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2266
83.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5121
189.6 IPS |
|
|
Text Classification (SP)
|
100% |
1875
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
622
833.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2539
43.7 IPS |
|
|
Machine Translation (HP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2544
56.7 IPS |