| User | tatianyi |
| Upload Date | August 30 2024 08:02 AM |
| Views | 9 |
| 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% |
6214
1.16 KIPS |
|
|
Image Classification (HP)
|
99% |
11164
2.08 KIPS |
|
|
Image Classification (Q)
|
100% |
5549
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11489
186.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15557
252.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
10212
166.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
86783
101.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
228302
266.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
76549
89.6 IPS |
|
|
Object Detection (SP)
|
100% |
7840
621.9 IPS |
|
|
Object Detection (HP)
|
100% |
14508
1.15 KIPS |
|
|
Object Detection (Q)
|
89% |
6953
556.6 IPS |
|
|
Face Detection (SP)
|
100% |
17248
204.9 IPS |
|
|
Face Detection (HP)
|
100% |
27116
322.2 IPS |
|
|
Face Detection (Q)
|
97% |
14297
170.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
35357
272.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
73120
563.3 IPS |
|
|
Depth Estimation (Q)
|
70% |
28157
236.2 IPS |
|
|
Style Transfer (SP)
|
100% |
134216
172.5 IPS |
|
|
Style Transfer (HP)
|
100% |
344946
443.4 IPS |
|
|
Style Transfer (Q)
|
98% |
120584
155.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26637
983.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44010
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19773
732.2 IPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
99% |
3431
4.58 KIPS |
|
|
Text Classification (Q)
|
97% |
1872
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3411
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3642
62.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1428
31.8 IPS |