| User | angelmonix |
| Upload Date | December 28 2024 06:25 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GA605WI_GA605WI |
| Motherboard | ASUSTeK COMPUTER INC. GA605WI |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2864
532.6 IPS |
|
|
Image Classification (HP)
|
100% |
2717
505.2 IPS |
|
|
Image Classification (Q)
|
100% |
7372
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3205
51.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8400
136.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8195
9.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
8198
9.57 IPS |
|
|
Pose Estimation (Q)
|
98% |
32082
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
2782
220.7 IPS |
|
|
Object Detection (HP)
|
100% |
2904
230.3 IPS |
|
|
Object Detection (Q)
|
88% |
7569
606.7 IPS |
|
|
Face Detection (SP)
|
100% |
8345
99.2 IPS |
|
|
Face Detection (HP)
|
100% |
8534
101.4 IPS |
|
|
Face Detection (Q)
|
100% |
22636
269.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8709
67.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8422
64.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
21325
165.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21160
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21427
27.5 IPS |
|
|
Style Transfer (Q)
|
98% |
79479
102.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4296
158.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4133
152.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13890
514.4 IPS |
|
|
Text Classification (SP)
|
100% |
2612
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2533
3.38 KIPS |
|
|
Text Classification (Q)
|
92% |
3335
4.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3771
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3916
67.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4414
76.0 IPS |