| User | AndyTung |
| Upload Date | October 07 2025 04:22 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B760M-PLUS WIFI II |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700 |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4169
775.3 IPS |
|
|
Image Classification (HP)
|
100% |
681
126.6 IPS |
|
|
Image Classification (Q)
|
99% |
6837
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2185
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1208
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11167
181.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8658
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
3841
4.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
29084
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
3760
298.3 IPS |
|
|
Object Detection (HP)
|
100% |
833
66.1 IPS |
|
|
Object Detection (Q)
|
86% |
7304
587.0 IPS |
|
|
Face Detection (SP)
|
100% |
10376
123.3 IPS |
|
|
Face Detection (HP)
|
100% |
1843
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
11214
133.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10650
82.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2178
16.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
16221
129.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19703
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10529
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
24416
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3440
127.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2149
79.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6326
234.2 IPS |
|
|
Text Classification (SP)
|
100% |
1894
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
885
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1782
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2301
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
885
15.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3486
70.1 IPS |