ASUSTeK COMPUTER INC. ASUS Vivobook 16 V3607VU_V3607VU
Geekbench AI Score
13165
Single Precision Score
23219
Half Precision Score
10147
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 05:20 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook 16 V3607VU_V3607VU |
| Motherboard | ASUSTeK COMPUTER INC. V3607VU |
| 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% |
5345
994.1 IPS |
|
|
Image Classification (HP)
|
99% |
10143
1.89 KIPS |
|
|
Image Classification (Q)
|
99% |
4566
851.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
9194
149.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13955
226.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8956
145.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
57898
67.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
180841
211.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
52883
62.0 IPS |
|
|
Object Detection (SP)
|
100% |
6423
509.5 IPS |
|
|
Object Detection (HP)
|
100% |
10362
821.9 IPS |
|
|
Object Detection (Q)
|
84% |
5020
404.9 IPS |
|
|
Face Detection (SP)
|
100% |
15613
185.5 IPS |
|
|
Face Detection (HP)
|
100% |
26995
320.8 IPS |
|
|
Face Detection (Q)
|
97% |
11932
142.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
28674
220.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
64950
500.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
22780
182.2 IPS |
|
|
Style Transfer (SP)
|
100% |
104768
134.7 IPS |
|
|
Style Transfer (HP)
|
100% |
269059
345.9 IPS |
|
|
Style Transfer (Q)
|
98% |
98529
127.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21544
795.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34295
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16828
623.1 IPS |
|
|
Text Classification (SP)
|
100% |
2940
3.92 KIPS |
|
|
Text Classification (HP)
|
99% |
3486
4.65 KIPS |
|
|
Text Classification (Q)
|
97% |
1659
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2881
49.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3045
52.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1426
26.8 IPS |
