| User | Tbeachly |
| Upload Date | May 15 2025 08:29 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA608WI_FA608WI |
| Motherboard | ASUSTeK COMPUTER INC. FA608WI |
| Power Plan | Silent |
| 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% |
2132
396.4 IPS |
|
|
Image Classification (HP)
|
100% |
5662
1.05 KIPS |
|
|
Image Classification (Q)
|
100% |
2028
377.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4598
74.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5816
94.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3825
62.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
44484
51.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
98350
114.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
32009
37.5 IPS |
|
|
Object Detection (SP)
|
100% |
2086
165.5 IPS |
|
|
Object Detection (HP)
|
100% |
4442
352.3 IPS |
|
|
Object Detection (Q)
|
87% |
2064
165.8 IPS |
|
|
Face Detection (SP)
|
100% |
6689
79.5 IPS |
|
|
Face Detection (HP)
|
100% |
11081
131.7 IPS |
|
|
Face Detection (Q)
|
97% |
5473
65.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17575
135.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
31222
240.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
13749
110.3 IPS |
|
|
Style Transfer (SP)
|
100% |
73368
94.3 IPS |
|
|
Style Transfer (HP)
|
100% |
140266
180.3 IPS |
|
|
Style Transfer (Q)
|
98% |
51548
66.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14061
519.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28154
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
7498
277.6 IPS |
|
|
Text Classification (SP)
|
100% |
2771
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
3380
4.51 KIPS |
|
|
Text Classification (Q)
|
97% |
1916
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4159
71.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4700
81.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1423
26.7 IPS |