ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X512DA_X512DA
Geekbench AI Score
869
Single Precision Score
902
Half Precision Score
931
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | gamer_321 |
| Upload Date | April 06 2025 04:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 3500U with Radeon Vega Mobile Gfx |
| 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% |
691
128.5 IPS |
|
|
Image Classification (HP)
|
100% |
683
127.0 IPS |
|
|
Image Classification (Q)
|
100% |
679
126.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
675
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1194
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1215
1.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
1311
1.54 IPS |
|
|
Object Detection (SP)
|
100% |
600
47.6 IPS |
|
|
Object Detection (HP)
|
100% |
582
46.2 IPS |
|
|
Object Detection (Q)
|
87% |
642
51.5 IPS |
|
|
Face Detection (SP)
|
100% |
1363
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
1229
14.6 IPS |
|
|
Face Detection (Q)
|
97% |
1848
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1614
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1662
12.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
1158
9.14 IPS |
|
|
Style Transfer (SP)
|
100% |
1731
2.23 IPS |
|
|
Style Transfer (HP)
|
100% |
3533
4.54 IPS |
|
|
Style Transfer (Q)
|
98% |
3584
4.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
456
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
454
16.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
535
19.8 IPS |
|
|
Text Classification (SP)
|
100% |
631
842.3 IPS |
|
|
Text Classification (HP)
|
100% |
448
598.1 IPS |
|
|
Text Classification (Q)
|
91% |
416
559.6 IPS |
|
|
Machine Translation (SP)
|
100% |
704
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (Q)
|
100% |
745
12.8 IPS |
