| User | dlcgpdeson |
| Upload Date | February 12 2025 05:20 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G513QM_G513QM |
| Motherboard | ASUSTeK COMPUTER INC. G513QM |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900HX |
| 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% |
1007
187.3 IPS |
|
|
Image Classification (HP)
|
100% |
1213
225.6 IPS |
|
|
Image Classification (Q)
|
100% |
920
171.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1695
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1195
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13281
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
24162
28.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
10345
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1177
93.4 IPS |
|
|
Object Detection (HP)
|
100% |
1379
109.4 IPS |
|
|
Object Detection (Q)
|
86% |
1054
84.7 IPS |
|
|
Face Detection (SP)
|
100% |
2196
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
2676
31.8 IPS |
|
|
Face Detection (Q)
|
97% |
1887
22.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5608
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7365
56.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
4581
36.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23500
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38524
49.5 IPS |
|
|
Style Transfer (Q)
|
98% |
17738
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4996
184.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7920
292.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3232
119.7 IPS |
|
|
Text Classification (SP)
|
100% |
1287
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1325
1.77 KIPS |
|
|
Text Classification (Q)
|
97% |
815
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1754
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1921
33.1 IPS |
|
|
Machine Translation (Q)
|
70% |
767
14.4 IPS |