ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X571GT_F571GT
Geekbench AI Score
1500
Single Precision Score
769
Half Precision Score
2217
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 06 2026 12:12 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% |
1081
201.1 IPS |
|
|
Image Classification (HP)
|
100% |
300
55.8 IPS |
|
|
Image Classification (Q)
|
96% |
1757
328.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
618
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
444
7.20 IPS |
|
|
Image Segmentation (Q)
|
97% |
2029
33.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2073
2.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1689
1.97 IPS |
|
|
Pose Estimation (Q)
|
86% |
3521
4.16 IPS |
|
|
Object Detection (SP)
|
100% |
984
78.0 IPS |
|
|
Object Detection (HP)
|
100% |
361
28.6 IPS |
|
|
Object Detection (Q)
|
58% |
1225
133.8 IPS |
|
|
Face Detection (SP)
|
100% |
1924
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
752
8.93 IPS |
|
|
Face Detection (Q)
|
96% |
3111
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2529
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1048
8.07 IPS |
|
|
Depth Estimation (Q)
|
78% |
3732
29.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5551
7.14 IPS |
|
|
Style Transfer (HP)
|
100% |
4309
5.54 IPS |
|
|
Style Transfer (Q)
|
87% |
7066
9.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1116
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
943
34.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1860
68.9 IPS |
|
|
Text Classification (SP)
|
100% |
1072
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
565
754.5 IPS |
|
|
Text Classification (Q)
|
97% |
876
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1312
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (Q)
|
68% |
1396
27.0 IPS |
