| User | 98Fengyu |
| Upload Date | February 01 2026 01:18 AM |
| Views | 20 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13400TEF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M D2HX SI DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B760M D2HX SI DDR4 |
| CPU Information | |
|---|---|
| Name | 13th Gen Intel(R) Core(TM) i5-13400TEF |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2230
414.6 IPS |
|
|
Image Classification (HP)
|
100% |
464
86.4 IPS |
|
|
Image Classification (Q)
|
99% |
4361
813.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1343
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
794
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5987
97.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4380
5.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
3283
3.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
15737
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2118
168.0 IPS |
|
|
Object Detection (HP)
|
100% |
595
47.2 IPS |
|
|
Object Detection (Q)
|
86% |
4690
376.9 IPS |
|
|
Face Detection (SP)
|
100% |
5115
60.8 IPS |
|
|
Face Detection (HP)
|
100% |
1341
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
6876
82.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5907
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1722
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11250
89.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10705
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7803
10.0 IPS |
|
|
Style Transfer (Q)
|
98% |
17575
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2081
76.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1496
55.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4079
151.0 IPS |
|
|
Text Classification (SP)
|
100% |
1310
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
659
879.4 IPS |
|
|
Text Classification (Q)
|
97% |
1133
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1713
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
726
12.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2370
47.6 IPS |