ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X571GT_F571GT
Geekbench AI Score
1083
Single Precision Score
525
Half Precision Score
1544
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 06 2026 12:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-9300H |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X571GT_F571GT |
| Motherboard | ASUSTeK COMPUTER INC. X571GT |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9300H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
756
140.6 IPS |
|
|
Image Classification (HP)
|
100% |
202
37.5 IPS |
|
|
Image Classification (Q)
|
96% |
1210
226.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
484
7.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
300
4.86 IPS |
|
|
Image Segmentation (Q)
|
97% |
1338
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1532
1.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
1254
1.46 IPS |
|
|
Pose Estimation (Q)
|
86% |
2665
3.15 IPS |
|
|
Object Detection (SP)
|
100% |
762
60.4 IPS |
|
|
Object Detection (HP)
|
100% |
249
19.8 IPS |
|
|
Object Detection (Q)
|
58% |
805
88.0 IPS |
|
|
Face Detection (SP)
|
100% |
1812
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
562
6.67 IPS |
|
|
Face Detection (Q)
|
96% |
2257
26.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1936
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
713
5.49 IPS |
|
|
Depth Estimation (Q)
|
78% |
2790
22.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3856
4.96 IPS |
|
|
Style Transfer (HP)
|
100% |
2827
3.63 IPS |
|
|
Style Transfer (Q)
|
87% |
5225
6.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
717
26.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
622
23.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1217
45.1 IPS |
|
|
Text Classification (SP)
|
100% |
614
820.1 IPS |
|
|
Text Classification (HP)
|
100% |
345
460.8 IPS |
|
|
Text Classification (Q)
|
97% |
541
724.4 IPS |
|
|
Machine Translation (SP)
|
100% |
878
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
351
6.05 IPS |
|
|
Machine Translation (Q)
|
68% |
1028
19.9 IPS |
