| User | aeonsim |
| Upload Date | January 23 2025 08:40 AM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Ally RC71L_RC71L |
| Motherboard | ASUSTeK COMPUTER INC. RC71L |
| Power Plan | Silent |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Z1 Extreme |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2435
452.8 IPS |
|
|
Image Classification (HP)
|
100% |
2872
534.2 IPS |
|
|
Image Classification (Q)
|
100% |
2301
427.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3443
55.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3438
55.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2843
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20974
24.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
37723
44.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18863
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
2277
180.6 IPS |
|
|
Object Detection (HP)
|
100% |
2493
197.7 IPS |
|
|
Object Detection (Q)
|
87% |
2096
168.3 IPS |
|
|
Face Detection (SP)
|
100% |
5471
65.0 IPS |
|
|
Face Detection (HP)
|
100% |
8972
106.6 IPS |
|
|
Face Detection (Q)
|
97% |
4504
53.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13525
104.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18006
138.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
11161
89.5 IPS |
|
|
Style Transfer (SP)
|
100% |
39216
50.4 IPS |
|
|
Style Transfer (HP)
|
100% |
61345
78.9 IPS |
|
|
Style Transfer (Q)
|
98% |
35135
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9021
333.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12436
459.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6747
249.8 IPS |
|
|
Text Classification (SP)
|
100% |
1793
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1568
2.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1058
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2330
40.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2457
42.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1232
23.1 IPS |