ASUSTeK COMPUTER INC. ASUS Vivobook 16 X1607CA_X1607CA
Geekbench AI Score
4150
Single Precision Score
8493
Half Precision Score
13300
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 28 2025 12:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
2780
517.0 IPS |
|
|
Image Classification (HP)
|
100% |
6493
1.21 KIPS |
|
|
Image Classification (Q)
|
100% |
9380
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3119
50.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2697
43.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3781
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5960
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
33106
38.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
71410
83.6 IPS |
|
|
Object Detection (SP)
|
100% |
1953
154.9 IPS |
|
|
Object Detection (HP)
|
100% |
5261
417.3 IPS |
|
|
Object Detection (Q)
|
87% |
9279
744.7 IPS |
|
|
Face Detection (SP)
|
100% |
5481
65.1 IPS |
|
|
Face Detection (HP)
|
100% |
12460
148.0 IPS |
|
|
Face Detection (Q)
|
100% |
22949
272.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6133
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12994
100.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
24845
193.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16381
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38752
49.8 IPS |
|
|
Style Transfer (Q)
|
98% |
73669
95.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3153
116.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13138
485.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21873
810.0 IPS |
|
|
Text Classification (SP)
|
100% |
2831
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2018
2.69 KIPS |
|
|
Text Classification (Q)
|
92% |
2068
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3055
52.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3850
66.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3879
66.8 IPS |
