| User | pom8646 |
| Upload Date | April 20 2025 02:50 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS ELITE DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS ELITE DDR4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2585
480.8 IPS |
|
|
Image Classification (HP)
|
100% |
627
116.5 IPS |
|
|
Image Classification (Q)
|
99% |
5680
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1650
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2571
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4820
5.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
3863
4.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
17544
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
2357
187.0 IPS |
|
|
Object Detection (HP)
|
100% |
780
61.9 IPS |
|
|
Object Detection (Q)
|
86% |
4996
401.5 IPS |
|
|
Face Detection (SP)
|
100% |
5001
59.4 IPS |
|
|
Face Detection (HP)
|
100% |
1714
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
8250
98.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6588
50.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2300
17.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
13545
108.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11992
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9307
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
17722
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2529
93.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2055
75.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4359
161.4 IPS |
|
|
Text Classification (SP)
|
100% |
1794
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
916
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
627
840.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2405
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3643
73.2 IPS |