ASUSTeK COMPUTER INC. ASUS Vivobook 16 X1607CA_X1607CA
Geekbench AI Score
5295
Single Precision Score
7494
Half Precision Score
3564
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 17 2025 08:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
3174
590.2 IPS |
|
|
Image Classification (HP)
|
100% |
3597
669.0 IPS |
|
|
Image Classification (Q)
|
99% |
2423
451.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3246
52.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6248
101.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2184
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16787
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26890
31.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
12549
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
3535
280.4 IPS |
|
|
Object Detection (HP)
|
100% |
4589
364.0 IPS |
|
|
Object Detection (Q)
|
87% |
2657
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
3904
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
7277
86.5 IPS |
|
|
Face Detection (Q)
|
97% |
2923
34.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10869
83.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16969
130.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
7931
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
37455
48.1 IPS |
|
|
Style Transfer (HP)
|
100% |
60646
78.0 IPS |
|
|
Style Transfer (Q)
|
98% |
26207
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6675
246.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9767
360.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4014
148.6 IPS |
|
|
Text Classification (SP)
|
100% |
1360
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1330
1.78 KIPS |
|
|
Text Classification (Q)
|
97% |
779
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1967
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2071
35.7 IPS |
|
|
Machine Translation (Q)
|
70% |
989
18.6 IPS |
