User | JustJosh |
Upload Date | October 23 2024 10:46 PM |
Views | 3 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GA605WI_GA605WI |
Motherboard | ASUSTeK COMPUTER INC. GA605WI |
Power Plan | Turbo |
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% |
2974
553.1 IPS |
|
Image Classification (HP)
|
100% |
2905
540.2 IPS |
|
Image Classification (Q)
|
100% |
7688
1.43 KIPS |
|
Image Segmentation (SP)
|
100% |
2196
35.6 IPS |
|
Image Segmentation (HP)
|
100% |
2108
34.2 IPS |
|
Image Segmentation (Q)
|
99% |
8007
129.8 IPS |
|
Pose Estimation (SP)
|
100% |
8232
9.61 IPS |
|
Pose Estimation (HP)
|
100% |
8231
9.60 IPS |
|
Pose Estimation (Q)
|
98% |
31636
37.0 IPS |
|
Object Detection (SP)
|
100% |
2934
232.7 IPS |
|
Object Detection (HP)
|
100% |
2950
234.0 IPS |
|
Object Detection (Q)
|
88% |
8480
679.8 IPS |
|
Face Detection (SP)
|
100% |
8606
102.3 IPS |
|
Face Detection (HP)
|
100% |
8547
101.6 IPS |
|
Face Detection (Q)
|
100% |
22201
263.8 IPS |
|
Depth Estimation (SP)
|
100% |
8752
67.4 IPS |
|
Depth Estimation (HP)
|
99% |
8736
67.3 IPS |
|
Depth Estimation (Q)
|
88% |
22295
173.5 IPS |
|
Style Transfer (SP)
|
100% |
21818
28.0 IPS |
|
Style Transfer (HP)
|
100% |
22120
28.4 IPS |
|
Style Transfer (Q)
|
98% |
78660
101.4 IPS |
|
Image Super-Resolution (SP)
|
100% |
4164
153.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
4237
156.4 IPS |
|
Image Super-Resolution (Q)
|
99% |
13497
499.9 IPS |
|
Text Classification (SP)
|
100% |
2537
3.39 KIPS |
|
Text Classification (HP)
|
100% |
2578
3.44 KIPS |
|
Text Classification (Q)
|
92% |
3360
4.51 KIPS |
|
Machine Translation (SP)
|
100% |
3924
67.6 IPS |
|
Machine Translation (HP)
|
100% |
4015
69.2 IPS |
|
Machine Translation (Q)
|
100% |
4393
75.7 IPS |