| Upload Date | November 14 2025 01:19 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700 |
| 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 i7-14700 |
| 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% |
4376
813.9 IPS |
|
|
Image Classification (HP)
|
100% |
582
108.3 IPS |
|
|
Image Classification (Q)
|
99% |
7366
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2292
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1291
20.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4325
70.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10428
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4785
5.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
32995
38.7 IPS |
|
|
Object Detection (SP)
|
100% |
4187
332.1 IPS |
|
|
Object Detection (HP)
|
100% |
768
60.9 IPS |
|
|
Object Detection (Q)
|
86% |
7691
618.1 IPS |
|
|
Face Detection (SP)
|
100% |
11779
140.0 IPS |
|
|
Face Detection (HP)
|
100% |
1959
23.3 IPS |
|
|
Face Detection (Q)
|
97% |
11920
142.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13065
100.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2323
17.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
19728
157.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23646
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11534
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
30970
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3506
129.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2180
80.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5749
212.9 IPS |
|
|
Text Classification (SP)
|
100% |
1851
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
767
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1830
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2360
40.7 IPS |
|
|
Machine Translation (HP)
|
100% |
961
16.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3730
74.9 IPS |