ASUSTeK COMPUTER INC. ASUS Vivobook 16 X1607CA_X1607CA
Geekbench AI Score
5312
Single Precision Score
7571
Half Precision Score
3521
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 17 2025 08:39 AM |
| Views | 2 |
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% |
3208
596.7 IPS |
|
|
Image Classification (HP)
|
100% |
3813
709.1 IPS |
|
|
Image Classification (Q)
|
99% |
2508
467.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3319
53.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6196
100.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2152
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16833
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
27370
31.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12439
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
3583
284.2 IPS |
|
|
Object Detection (HP)
|
100% |
4584
363.6 IPS |
|
|
Object Detection (Q)
|
87% |
2706
217.2 IPS |
|
|
Face Detection (SP)
|
100% |
3940
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
7603
90.3 IPS |
|
|
Face Detection (Q)
|
97% |
2790
33.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11216
86.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18530
142.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
9043
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
36665
47.1 IPS |
|
|
Style Transfer (HP)
|
100% |
58583
75.3 IPS |
|
|
Style Transfer (Q)
|
98% |
24594
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6630
244.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9454
349.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3651
135.2 IPS |
|
|
Text Classification (SP)
|
100% |
1386
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
1320
1.76 KIPS |
|
|
Text Classification (Q)
|
97% |
789
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1871
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2029
34.9 IPS |
|
|
Machine Translation (Q)
|
70% |
904
17.0 IPS |
