| User | BudgetGamer1 |
| Upload Date | June 19 2025 07:38 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Laptop GPU |
| 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% |
7140
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
13731
2.55 KIPS |
|
|
Image Classification (Q)
|
99% |
6692
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14013
227.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22854
370.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12878
209.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
84689
98.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
268091
312.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
75918
88.9 IPS |
|
|
Object Detection (SP)
|
100% |
9836
780.2 IPS |
|
|
Object Detection (HP)
|
100% |
18503
1.47 KIPS |
|
|
Object Detection (Q)
|
87% |
8436
677.0 IPS |
|
|
Face Detection (SP)
|
100% |
24112
286.5 IPS |
|
|
Face Detection (HP)
|
100% |
41786
496.5 IPS |
|
|
Face Detection (Q)
|
97% |
21135
252.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
42663
328.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
91898
708.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
35161
281.1 IPS |
|
|
Style Transfer (SP)
|
100% |
132783
170.7 IPS |
|
|
Style Transfer (HP)
|
100% |
449562
577.9 IPS |
|
|
Style Transfer (Q)
|
98% |
112958
145.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24414
901.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49878
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19690
729.1 IPS |
|
|
Text Classification (SP)
|
100% |
2888
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3569
4.76 KIPS |
|
|
Text Classification (Q)
|
97% |
1932
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5109
88.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5802
99.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1869
35.1 IPS |