| User | tatianyi |
| Upload Date | April 23 2025 04:41 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507XV_FA507XV |
| Motherboard | ASUSTeK COMPUTER INC. FA507XV |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940H w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6665
1.24 KIPS |
|
|
Image Classification (HP)
|
99% |
11645
2.17 KIPS |
|
|
Image Classification (Q)
|
99% |
6131
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12605
204.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18103
293.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11432
185.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
89206
104.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
243017
283.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
78764
92.3 IPS |
|
|
Object Detection (SP)
|
100% |
8495
673.8 IPS |
|
|
Object Detection (HP)
|
100% |
15316
1.21 KIPS |
|
|
Object Detection (Q)
|
84% |
7484
603.6 IPS |
|
|
Face Detection (SP)
|
100% |
21264
252.7 IPS |
|
|
Face Detection (HP)
|
100% |
33624
399.5 IPS |
|
|
Face Detection (Q)
|
97% |
18886
225.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
40400
311.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
76395
588.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
33384
267.1 IPS |
|
|
Style Transfer (SP)
|
100% |
137833
177.2 IPS |
|
|
Style Transfer (HP)
|
100% |
339127
436.0 IPS |
|
|
Style Transfer (Q)
|
98% |
123625
159.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26881
992.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44491
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20441
756.9 IPS |
|
|
Text Classification (SP)
|
100% |
2873
3.83 KIPS |
|
|
Text Classification (HP)
|
99% |
3323
4.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1791
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4196
72.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4361
75.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1898
35.6 IPS |