| User | aayush08 |
| Upload Date | October 16 2024 10:40 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G15 GA503QM_GA503QM |
| Motherboard | ASUSTeK COMPUTER INC. GA503QM |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5497
1.02 KIPS |
|
|
Image Classification (HP)
|
99% |
8588
1.60 KIPS |
|
|
Image Classification (Q)
|
100% |
4036
750.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7261
117.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9731
157.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6180
100.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
62086
72.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
175415
204.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
52272
61.2 IPS |
|
|
Object Detection (SP)
|
100% |
6081
482.3 IPS |
|
|
Object Detection (HP)
|
100% |
10377
823.1 IPS |
|
|
Object Detection (Q)
|
89% |
4570
365.9 IPS |
|
|
Face Detection (SP)
|
100% |
13244
157.4 IPS |
|
|
Face Detection (HP)
|
100% |
19364
230.1 IPS |
|
|
Face Detection (Q)
|
97% |
10367
123.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
31286
241.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
60246
465.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
21761
175.4 IPS |
|
|
Style Transfer (SP)
|
100% |
108868
140.0 IPS |
|
|
Style Transfer (HP)
|
100% |
279306
359.1 IPS |
|
|
Style Transfer (Q)
|
98% |
92039
118.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19987
738.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33323
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13107
485.4 IPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
2811
3.75 KIPS |
|
|
Text Classification (Q)
|
97% |
1273
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2426
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2474
42.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1017
22.7 IPS |