| User | xyviolin |
| Upload Date | September 15 2025 03:26 PM |
| Views | 9 |
| 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. Z690 GAMING X DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 GAMING X DDR4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3135
583.1 IPS |
|
|
Image Classification (HP)
|
100% |
537
99.8 IPS |
|
|
Image Classification (Q)
|
99% |
6098
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1926
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
950
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3701
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6591
7.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
4175
4.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
22772
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
2831
224.6 IPS |
|
|
Object Detection (HP)
|
100% |
556
44.1 IPS |
|
|
Object Detection (Q)
|
86% |
6558
527.1 IPS |
|
|
Face Detection (SP)
|
100% |
7393
87.8 IPS |
|
|
Face Detection (HP)
|
100% |
1686
20.0 IPS |
|
|
Face Detection (Q)
|
97% |
10168
121.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8466
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2277
17.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
15007
119.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15860
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10240
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20556
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3062
113.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2100
77.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4751
175.9 IPS |
|
|
Text Classification (SP)
|
100% |
1648
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
551
735.9 IPS |
|
|
Text Classification (Q)
|
97% |
1049
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2444
42.1 IPS |
|
|
Machine Translation (HP)
|
100% |
811
14.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3573
71.8 IPS |