| User | StingerYar |
| Upload Date | October 27 2024 08:37 AM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-F GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700KF |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2837
527.5 IPS |
|
|
Image Classification (HP)
|
100% |
629
117.0 IPS |
|
|
Image Classification (Q)
|
99% |
4951
923.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2554
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1265
20.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4579
74.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11003
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
5356
6.25 IPS |
|
|
Pose Estimation (Q)
|
95% |
35438
41.5 IPS |
|
|
Object Detection (SP)
|
100% |
3370
267.3 IPS |
|
|
Object Detection (HP)
|
100% |
939
74.5 IPS |
|
|
Object Detection (Q)
|
88% |
2879
230.7 IPS |
|
|
Face Detection (SP)
|
100% |
5915
70.3 IPS |
|
|
Face Detection (HP)
|
100% |
2225
26.4 IPS |
|
|
Face Detection (Q)
|
97% |
6499
77.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11249
86.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2557
19.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
12190
97.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24389
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12856
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
33739
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4235
156.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2479
91.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6519
241.4 IPS |
|
|
Text Classification (SP)
|
100% |
2186
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
901
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
2133
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2626
45.2 IPS |
|
|
Machine Translation (HP)
|
100% |
878
15.1 IPS |
|
|
Machine Translation (Q)
|
60% |
3361
75.0 IPS |