ASUSTeK COMPUTER INC. ZenBook Pro Duo UX581GV_UX581GV
Geekbench AI Score
2335
Single Precision Score
985
Half Precision Score
3227
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 13 2025 12:21 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ZenBook Pro Duo UX581GV_UX581GV |
| Motherboard | ASUSTeK COMPUTER INC. UX581GV |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1950
362.7 IPS |
|
|
Image Classification (HP)
|
100% |
371
69.1 IPS |
|
|
Image Classification (Q)
|
96% |
2880
537.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1066
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
588
9.54 IPS |
|
|
Image Segmentation (Q)
|
97% |
3377
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3766
4.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
3143
3.67 IPS |
|
|
Pose Estimation (Q)
|
86% |
6421
7.59 IPS |
|
|
Object Detection (SP)
|
100% |
1786
141.7 IPS |
|
|
Object Detection (HP)
|
100% |
485
38.4 IPS |
|
|
Object Detection (Q)
|
58% |
1880
205.4 IPS |
|
|
Face Detection (SP)
|
100% |
2689
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
944
11.2 IPS |
|
|
Face Detection (Q)
|
96% |
4933
58.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4575
35.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1428
11.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
6035
48.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9022
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7098
9.12 IPS |
|
|
Style Transfer (Q)
|
87% |
9723
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1671
61.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
959
35.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1974
73.1 IPS |
|
|
Text Classification (SP)
|
100% |
1299
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
550
734.5 IPS |
|
|
Text Classification (Q)
|
97% |
1006
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1435
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
513
8.83 IPS |
|
|
Machine Translation (Q)
|
68% |
1815
35.1 IPS |
