| User | batu69 |
| Upload Date | September 01 2025 03:37 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B760M-A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2750
511.4 IPS |
|
|
Image Classification (HP)
|
100% |
697
129.5 IPS |
|
|
Image Classification (Q)
|
99% |
4708
878.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1171
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1199
19.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7834
127.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5228
6.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
4219
4.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
18630
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
2629
208.5 IPS |
|
|
Object Detection (HP)
|
100% |
591
46.9 IPS |
|
|
Object Detection (Q)
|
86% |
5665
455.3 IPS |
|
|
Face Detection (SP)
|
100% |
7812
92.8 IPS |
|
|
Face Detection (HP)
|
100% |
1310
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
9652
115.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6658
51.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2522
19.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
14710
117.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13487
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10013
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18196
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2712
100.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2144
79.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5375
199.0 IPS |
|
|
Text Classification (SP)
|
100% |
1800
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
868
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1051
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2369
40.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3447
69.3 IPS |