ASUSTeK COMPUTER INC. ASUS Vivobook 16 X1607CA_X1607CA
Geekbench AI Score
3757
Single Precision Score
1683
Half Precision Score
7319
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 17 2025 08:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook 16 X1607CA_X1607CA |
| Motherboard | ASUSTeK COMPUTER INC. X1607CA |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2748
511.1 IPS |
|
|
Image Classification (HP)
|
100% |
569
105.8 IPS |
|
|
Image Classification (Q)
|
99% |
6720
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1667
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1061
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8640
140.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6362
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
4773
5.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
22055
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
2721
215.8 IPS |
|
|
Object Detection (HP)
|
100% |
780
61.8 IPS |
|
|
Object Detection (Q)
|
86% |
6214
499.4 IPS |
|
|
Face Detection (SP)
|
100% |
6130
72.8 IPS |
|
|
Face Detection (HP)
|
100% |
1690
20.1 IPS |
|
|
Face Detection (Q)
|
97% |
8618
102.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8214
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2373
18.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
14903
118.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14926
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11797
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18267
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2922
107.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2249
83.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5449
201.8 IPS |
|
|
Text Classification (SP)
|
100% |
1554
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1474
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2071
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2945
59.2 IPS |
