| User | Tbeachly |
| Upload Date | May 15 2025 08:04 PM |
| Views | 7 |
| 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. 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% |
2866
533.0 IPS |
|
|
Image Classification (HP)
|
100% |
2727
507.1 IPS |
|
|
Image Classification (Q)
|
100% |
8564
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3744
60.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3885
63.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10791
174.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8250
9.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
8318
9.71 IPS |
|
|
Pose Estimation (Q)
|
98% |
29239
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
2821
223.8 IPS |
|
|
Object Detection (HP)
|
100% |
2875
228.1 IPS |
|
|
Object Detection (Q)
|
88% |
9008
722.1 IPS |
|
|
Face Detection (SP)
|
100% |
8256
98.1 IPS |
|
|
Face Detection (HP)
|
100% |
8139
96.7 IPS |
|
|
Face Detection (Q)
|
100% |
23654
281.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7865
60.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8358
64.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
22753
177.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19904
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
20569
26.4 IPS |
|
|
Style Transfer (Q)
|
98% |
74657
96.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4284
158.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4114
151.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13139
486.6 IPS |
|
|
Text Classification (SP)
|
100% |
2539
3.39 KIPS |
|
|
Text Classification (HP)
|
100% |
2541
3.39 KIPS |
|
|
Text Classification (Q)
|
92% |
3364
4.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3993
68.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4192
72.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5394
92.9 IPS |