| User | BudgetGamer1 |
| Upload Date | June 19 2025 07:36 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 610M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G18 G814PM_G814PM |
| Motherboard | ASUSTeK COMPUTER INC. G814PM |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8940HX with Radeon Graphics |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
661
122.8 IPS |
|
|
Image Classification (HP)
|
100% |
648
120.5 IPS |
|
|
Image Classification (Q)
|
100% |
655
121.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
987
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6301
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
10749
12.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
5630
6.60 IPS |
|
|
Object Detection (SP)
|
100% |
716
56.8 IPS |
|
|
Object Detection (HP)
|
100% |
661
52.4 IPS |
|
|
Object Detection (Q)
|
87% |
675
54.2 IPS |
|
|
Face Detection (SP)
|
100% |
2140
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
2168
25.8 IPS |
|
|
Face Detection (Q)
|
97% |
1928
23.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3623
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4443
34.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
3228
25.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10592
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
15781
20.3 IPS |
|
|
Style Transfer (Q)
|
98% |
9752
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2787
102.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3616
133.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2071
76.7 IPS |
|
|
Text Classification (SP)
|
100% |
706
942.4 IPS |
|
|
Text Classification (HP)
|
100% |
877
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
499
668.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1218
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (Q)
|
70% |
609
11.4 IPS |