ASUSTeK COMPUTER INC. ASUS Vivobook 16 X1607CA_X1607CA
Geekbench AI Score
3760
Single Precision Score
1698
Half Precision Score
7268
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 17 2025 08:16 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% |
2813
523.2 IPS |
|
|
Image Classification (HP)
|
100% |
594
110.6 IPS |
|
|
Image Classification (Q)
|
99% |
6646
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1583
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1082
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8637
140.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6402
7.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
4704
5.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
21849
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
2752
218.3 IPS |
|
|
Object Detection (HP)
|
100% |
781
61.9 IPS |
|
|
Object Detection (Q)
|
86% |
6190
497.5 IPS |
|
|
Face Detection (SP)
|
100% |
6180
73.4 IPS |
|
|
Face Detection (HP)
|
100% |
1672
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
8694
103.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8167
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2336
18.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
14839
118.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14925
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12125
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17867
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3002
110.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2314
85.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5176
191.7 IPS |
|
|
Text Classification (SP)
|
100% |
1530
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
768
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1444
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2082
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1004
17.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3079
61.9 IPS |
