ASUSTeK COMPUTER INC. ASUS Vivobook 16 V3607VU_A3607VU
Geekbench AI Score
2652
Single Precision Score
1325
Half Precision Score
5521
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | stephaneg |
| Upload Date | October 07 2025 05:19 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) 5 210H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook 16 V3607VU_A3607VU |
| Motherboard | ASUSTeK COMPUTER INC. V3607VU |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 5 210H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2052
381.7 IPS |
|
|
Image Classification (HP)
|
100% |
521
96.9 IPS |
|
|
Image Classification (Q)
|
99% |
4294
800.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1058
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
789
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5985
97.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4151
4.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
3137
3.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
13496
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1916
152.0 IPS |
|
|
Object Detection (HP)
|
100% |
641
50.9 IPS |
|
|
Object Detection (Q)
|
86% |
4299
345.5 IPS |
|
|
Face Detection (SP)
|
100% |
4144
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
1358
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
6944
82.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5490
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2000
15.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
10887
86.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9804
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7886
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
14778
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1872
69.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1673
61.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4699
174.0 IPS |
|
|
Text Classification (SP)
|
100% |
1474
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1462
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1621
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
742
12.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2302
46.3 IPS |
