ASUSTeK COMPUTER INC. ASUS Vivobook 16 X1607CA_X1607CA
Geekbench AI Score
3417
Single Precision Score
1586
Half Precision Score
6859
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 10:41 AM |
| Views | 2 |
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% |
2492
463.5 IPS |
|
|
Image Classification (HP)
|
100% |
578
107.5 IPS |
|
|
Image Classification (Q)
|
99% |
6027
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1076
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7945
129.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5668
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
4041
4.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
19175
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
2403
190.6 IPS |
|
|
Object Detection (HP)
|
100% |
739
58.6 IPS |
|
|
Object Detection (Q)
|
86% |
5704
458.4 IPS |
|
|
Face Detection (SP)
|
100% |
6064
72.1 IPS |
|
|
Face Detection (HP)
|
100% |
1630
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
8187
97.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7078
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2232
17.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
14230
113.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13294
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10281
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17694
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2565
94.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2009
74.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5066
187.6 IPS |
|
|
Text Classification (SP)
|
100% |
1494
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
785
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1450
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2027
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
921
15.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2908
58.4 IPS |
