ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X571GT_F571GT
Geekbench AI Score
1441
Single Precision Score
726
Half Precision Score
2143
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 06 2026 12:16 PM |
| Views | 2 |
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% |
1078
200.4 IPS |
|
|
Image Classification (HP)
|
100% |
291
54.2 IPS |
|
|
Image Classification (Q)
|
96% |
1743
325.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
639
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
431
6.99 IPS |
|
|
Image Segmentation (Q)
|
97% |
1882
30.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1970
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1612
1.88 IPS |
|
|
Pose Estimation (Q)
|
86% |
3498
4.14 IPS |
|
|
Object Detection (SP)
|
100% |
997
79.1 IPS |
|
|
Object Detection (HP)
|
100% |
347
27.5 IPS |
|
|
Object Detection (Q)
|
58% |
1131
123.6 IPS |
|
|
Face Detection (SP)
|
100% |
1961
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
748
8.89 IPS |
|
|
Face Detection (Q)
|
96% |
3299
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2591
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
977
7.53 IPS |
|
|
Depth Estimation (Q)
|
78% |
3698
29.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5003
6.43 IPS |
|
|
Style Transfer (HP)
|
100% |
3792
4.88 IPS |
|
|
Style Transfer (Q)
|
87% |
6560
8.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1022
37.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
832
30.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1687
62.5 IPS |
|
|
Text Classification (SP)
|
100% |
905
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
540
721.4 IPS |
|
|
Text Classification (Q)
|
97% |
849
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1215
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
468
8.07 IPS |
|
|
Machine Translation (Q)
|
68% |
1379
26.7 IPS |
