| User | tatianyi |
| Upload Date | August 30 2024 07:57 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7940H w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507XV_FA507XV |
| Motherboard | ASUSTeK COMPUTER INC. FA507XV |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940H w/ Radeon 780M Graphics |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3421
636.1 IPS |
|
|
Image Classification (HP)
|
100% |
3551
660.4 IPS |
|
|
Image Classification (Q)
|
100% |
10067
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2081
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8178
132.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7675
8.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
7798
9.10 IPS |
|
|
Pose Estimation (Q)
|
98% |
31920
37.4 IPS |
|
|
Object Detection (SP)
|
100% |
2939
233.1 IPS |
|
|
Object Detection (HP)
|
100% |
3011
238.8 IPS |
|
|
Object Detection (Q)
|
88% |
9806
786.1 IPS |
|
|
Face Detection (SP)
|
100% |
7477
88.8 IPS |
|
|
Face Detection (HP)
|
100% |
7640
90.8 IPS |
|
|
Face Detection (Q)
|
100% |
25005
297.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8802
67.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
8682
66.9 IPS |
|
|
Depth Estimation (Q)
|
80% |
24504
194.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21086
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20420
26.2 IPS |
|
|
Style Transfer (Q)
|
98% |
77111
99.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4394
162.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4162
153.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15545
575.7 IPS |
|
|
Text Classification (SP)
|
100% |
3737
4.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3734
4.98 KIPS |
|
|
Text Classification (Q)
|
92% |
5137
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3929
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4203
72.4 IPS |
|
|
Machine Translation (Q)
|
85% |
5421
94.8 IPS |