ASUS VivoBook ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X512JA_R564JA
Geekbench AI Score
1121
Single Precision Score
1118
Half Precision Score
3027
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | sharg |
| Upload Date | November 05 2025 09:36 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-1005G1 CPU @ 1.20GHz |
| 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% |
671
124.8 IPS |
|
|
Image Classification (HP)
|
100% |
674
125.3 IPS |
|
|
Image Classification (Q)
|
100% |
2014
374.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
741
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
743
12.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1964
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1253
1.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
1083
1.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
4220
4.94 IPS |
|
|
Object Detection (SP)
|
100% |
605
48.0 IPS |
|
|
Object Detection (HP)
|
100% |
648
51.4 IPS |
|
|
Object Detection (Q)
|
88% |
2035
163.1 IPS |
|
|
Face Detection (SP)
|
100% |
1687
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
1723
20.5 IPS |
|
|
Face Detection (Q)
|
100% |
4772
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1696
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1664
12.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
5192
40.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3277
4.21 IPS |
|
|
Style Transfer (HP)
|
100% |
3326
4.28 IPS |
|
|
Style Transfer (Q)
|
98% |
12538
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
750
27.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
739
27.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2527
93.6 IPS |
|
|
Text Classification (SP)
|
100% |
826
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
857
1.14 KIPS |
|
|
Text Classification (Q)
|
92% |
1948
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1442
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1445
24.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1246
21.5 IPS |
