| User | botherkid |
| Upload Date | October 20 2024 01:29 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Flow X13 GV302XU_GV302XU |
| Motherboard | ASUSTeK COMPUTER INC. GV302XU |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3301
613.8 IPS |
|
|
Image Classification (HP)
|
100% |
3589
667.5 IPS |
|
|
Image Classification (Q)
|
100% |
10186
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2036
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2075
33.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8330
135.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7638
8.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
7642
8.92 IPS |
|
|
Pose Estimation (Q)
|
98% |
31355
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
2919
231.5 IPS |
|
|
Object Detection (HP)
|
100% |
3291
261.0 IPS |
|
|
Object Detection (Q)
|
88% |
9991
800.9 IPS |
|
|
Face Detection (SP)
|
100% |
6093
72.4 IPS |
|
|
Face Detection (HP)
|
100% |
6049
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
23997
285.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9687
74.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9350
72.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
26246
204.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20653
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21198
27.3 IPS |
|
|
Style Transfer (Q)
|
98% |
82383
106.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4480
165.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4651
171.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16393
607.1 IPS |
|
|
Text Classification (SP)
|
100% |
3844
5.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3970
5.30 KIPS |
|
|
Text Classification (Q)
|
92% |
5631
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4544
78.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4637
79.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5944
102.4 IPS |