| User | aferreiro77 |
| Upload Date | August 04 2025 03:13 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise LTSC (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook 14 UM3406HA_UM3406HA |
| Motherboard | ASUSTeK COMPUTER INC. UM3406HA |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2292
426.3 IPS |
|
|
Image Classification (HP)
|
100% |
569
105.9 IPS |
|
|
Image Classification (Q)
|
99% |
5346
997.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1235
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
588
9.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
5808
94.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3909
4.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3366
3.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
16290
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
1929
153.0 IPS |
|
|
Object Detection (HP)
|
100% |
496
39.3 IPS |
|
|
Object Detection (Q)
|
86% |
5123
411.8 IPS |
|
|
Face Detection (SP)
|
100% |
4161
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
1187
14.1 IPS |
|
|
Face Detection (Q)
|
97% |
8198
97.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8450
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2585
19.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
10462
83.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14600
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12779
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
23970
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2364
87.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2330
86.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6140
227.3 IPS |
|
|
Text Classification (SP)
|
100% |
1996
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
878
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1729
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2145
36.9 IPS |
|
|
Machine Translation (HP)
|
100% |
874
15.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2810
56.5 IPS |