| Upload Date | January 16 2026 06:27 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. B760M-AYW WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| 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% |
3494
649.8 IPS |
|
|
Image Classification (HP)
|
100% |
573
106.5 IPS |
|
|
Image Classification (Q)
|
99% |
6642
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2085
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1110
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3961
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7442
8.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
4422
5.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
26369
30.9 IPS |
|
|
Object Detection (SP)
|
100% |
3312
262.7 IPS |
|
|
Object Detection (HP)
|
100% |
754
59.8 IPS |
|
|
Object Detection (Q)
|
86% |
6828
548.7 IPS |
|
|
Face Detection (SP)
|
100% |
8559
101.7 IPS |
|
|
Face Detection (HP)
|
100% |
1716
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
10581
126.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9539
73.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2139
16.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
15804
126.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17625
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10831
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25222
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3109
114.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2165
80.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4990
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
1777
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
756
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1937
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2044
35.2 IPS |
|
|
Machine Translation (HP)
|
100% |
887
15.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3574
71.8 IPS |