ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X512DA_X512DA
Geekbench AI Score
1737
Single Precision Score
2278
Half Precision Score
1314
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | gamer_321 |
| Upload Date | April 06 2025 04:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Vega 8 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X512DA_X512DA |
| Motherboard | ASUSTeK COMPUTER INC. X512DA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3500U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
828
154.0 IPS |
|
|
Image Classification (HP)
|
100% |
937
174.2 IPS |
|
|
Image Classification (Q)
|
100% |
661
122.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
855
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1029
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
731
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7023
8.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
13075
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
5833
6.83 IPS |
|
|
Object Detection (SP)
|
100% |
892
70.8 IPS |
|
|
Object Detection (HP)
|
100% |
950
75.3 IPS |
|
|
Object Detection (Q)
|
88% |
664
53.3 IPS |
|
|
Face Detection (SP)
|
100% |
1661
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
2543
30.2 IPS |
|
|
Face Detection (Q)
|
97% |
1582
18.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3532
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4968
38.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
2753
22.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9872
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17574
22.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8815
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2510
92.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3296
121.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1613
59.7 IPS |
|
|
Text Classification (SP)
|
100% |
500
667.8 IPS |
|
|
Text Classification (HP)
|
100% |
514
686.5 IPS |
|
|
Text Classification (Q)
|
97% |
327
437.7 IPS |
|
|
Machine Translation (SP)
|
100% |
778
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (Q)
|
70% |
408
7.65 IPS |
