| Upload Date | November 11 2025 09:05 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. PRIME B760M-A 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% |
3519
654.3 IPS |
|
|
Image Classification (HP)
|
100% |
581
108.1 IPS |
|
|
Image Classification (Q)
|
99% |
6581
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1190
19.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3944
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7456
8.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
4408
5.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
25386
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
3390
268.9 IPS |
|
|
Object Detection (HP)
|
100% |
755
59.9 IPS |
|
|
Object Detection (Q)
|
86% |
6735
541.3 IPS |
|
|
Face Detection (SP)
|
100% |
8986
106.8 IPS |
|
|
Face Detection (HP)
|
100% |
1881
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
10544
125.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9663
74.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2212
17.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
17040
136.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17823
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10787
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25141
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3138
115.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2135
78.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5327
197.2 IPS |
|
|
Text Classification (SP)
|
100% |
1740
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
787
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1955
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2172
37.4 IPS |
|
|
Machine Translation (HP)
|
100% |
875
15.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3486
70.0 IPS |