| Upload Date | October 18 2025 03:59 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700F |
| 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 i7-14700F |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4382
815.0 IPS |
|
|
Image Classification (HP)
|
100% |
629
116.9 IPS |
|
|
Image Classification (Q)
|
99% |
7355
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2153
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1286
20.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4237
68.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10467
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4766
5.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
33236
39.0 IPS |
|
|
Object Detection (SP)
|
100% |
3914
310.5 IPS |
|
|
Object Detection (HP)
|
100% |
763
60.5 IPS |
|
|
Object Detection (Q)
|
86% |
7426
596.8 IPS |
|
|
Face Detection (SP)
|
100% |
11093
131.8 IPS |
|
|
Face Detection (HP)
|
100% |
1903
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
11862
141.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12603
97.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2262
17.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
18298
146.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24250
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11598
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
28081
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3581
132.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2356
87.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5977
221.3 IPS |
|
|
Text Classification (SP)
|
100% |
1885
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
830
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1788
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2212
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
874
15.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3612
72.6 IPS |