ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X571GT_F571GT
Geekbench AI Score
1364
Single Precision Score
718
Half Precision Score
2082
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 06 2026 12:06 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% |
927
172.5 IPS |
|
|
Image Classification (HP)
|
100% |
254
47.3 IPS |
|
|
Image Classification (Q)
|
96% |
1511
282.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
449
7.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.28 IPS |
|
|
Image Segmentation (Q)
|
97% |
1579
25.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1774
2.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
1618
1.89 IPS |
|
|
Pose Estimation (Q)
|
86% |
3593
4.25 IPS |
|
|
Object Detection (SP)
|
100% |
1018
80.8 IPS |
|
|
Object Detection (HP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (Q)
|
58% |
1109
121.2 IPS |
|
|
Face Detection (SP)
|
100% |
1656
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
759
9.02 IPS |
|
|
Face Detection (Q)
|
96% |
3130
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2506
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1018
7.84 IPS |
|
|
Depth Estimation (Q)
|
78% |
3705
29.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5186
6.67 IPS |
|
|
Style Transfer (HP)
|
100% |
3822
4.91 IPS |
|
|
Style Transfer (Q)
|
87% |
6604
8.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1001
36.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
873
32.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1753
64.9 IPS |
|
|
Text Classification (SP)
|
100% |
1104
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
527
704.0 IPS |
|
|
Text Classification (Q)
|
97% |
883
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
473
8.15 IPS |
|
|
Machine Translation (Q)
|
68% |
1360
26.3 IPS |
