| User | rennsport |
| Upload Date | March 21 2025 10:13 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507NVR_FA507NVR |
| Motherboard | ASUSTeK COMPUTER INC. FA507NVR |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7435HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6770
1.26 KIPS |
|
|
Image Classification (HP)
|
99% |
11561
2.16 KIPS |
|
|
Image Classification (Q)
|
99% |
6221
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9445
153.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12336
200.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8944
145.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
87821
102.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
223821
261.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
77904
91.3 IPS |
|
|
Object Detection (SP)
|
100% |
7798
618.5 IPS |
|
|
Object Detection (HP)
|
100% |
13862
1.10 KIPS |
|
|
Object Detection (Q)
|
84% |
7012
565.5 IPS |
|
|
Face Detection (SP)
|
100% |
17884
212.5 IPS |
|
|
Face Detection (HP)
|
100% |
25970
308.6 IPS |
|
|
Face Detection (Q)
|
97% |
15784
188.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
37653
290.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
76349
588.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
31190
249.5 IPS |
|
|
Style Transfer (SP)
|
100% |
136867
175.9 IPS |
|
|
Style Transfer (HP)
|
100% |
342233
439.9 IPS |
|
|
Style Transfer (Q)
|
98% |
123215
158.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26648
984.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42434
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19971
739.5 IPS |
|
|
Text Classification (SP)
|
100% |
3042
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3577
4.77 KIPS |
|
|
Text Classification (Q)
|
97% |
1889
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3002
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3174
54.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1585
29.7 IPS |