ASUS VivoBook ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X512JA_R564JA
Geekbench AI Score
791
Single Precision Score
443
Half Precision Score
1587
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | sharg |
| Upload Date | November 05 2025 09:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-1005G1 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X512JA_R564JA |
| Motherboard | ASUSTeK COMPUTER INC. X512JA |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1005G1 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.19 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
491
91.3 IPS |
|
|
Image Classification (HP)
|
100% |
191
35.6 IPS |
|
|
Image Classification (Q)
|
99% |
1299
242.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
355
5.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
268
4.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
767
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
909
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
751
0.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
3815
4.47 IPS |
|
|
Object Detection (SP)
|
100% |
539
42.7 IPS |
|
|
Object Detection (HP)
|
100% |
250
19.8 IPS |
|
|
Object Detection (Q)
|
86% |
1251
100.5 IPS |
|
|
Face Detection (SP)
|
100% |
1353
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
548
6.51 IPS |
|
|
Face Detection (Q)
|
97% |
2514
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1241
9.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
622
4.79 IPS |
|
|
Depth Estimation (Q)
|
78% |
3073
24.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2334
3.00 IPS |
|
|
Style Transfer (HP)
|
100% |
1798
2.31 IPS |
|
|
Style Transfer (Q)
|
98% |
5261
6.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
499
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
401
14.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1636
60.6 IPS |
|
|
Text Classification (SP)
|
100% |
663
885.4 IPS |
|
|
Text Classification (HP)
|
100% |
348
465.0 IPS |
|
|
Text Classification (Q)
|
97% |
287
384.8 IPS |
|
|
Machine Translation (SP)
|
100% |
869
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
355
6.11 IPS |
|
|
Machine Translation (Q)
|
65% |
1117
22.4 IPS |
