ASUSTeK COMPUTER INC. ASUS Vivobook 16 V3607VU_V3607VU
Geekbench AI Score
12965
Single Precision Score
23455
Half Precision Score
10472
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 01:27 AM |
| Views | 2 |
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% |
5379
1.00 KIPS |
|
|
Image Classification (HP)
|
99% |
9073
1.69 KIPS |
|
|
Image Classification (Q)
|
99% |
4897
913.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
9252
150.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13440
217.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7729
125.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
60312
70.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
185610
216.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
52962
62.1 IPS |
|
|
Object Detection (SP)
|
100% |
6543
519.0 IPS |
|
|
Object Detection (HP)
|
100% |
11976
949.9 IPS |
|
|
Object Detection (Q)
|
84% |
6072
489.7 IPS |
|
|
Face Detection (SP)
|
100% |
13135
156.1 IPS |
|
|
Face Detection (HP)
|
100% |
26710
317.4 IPS |
|
|
Face Detection (Q)
|
97% |
13998
166.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27935
215.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
62996
485.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
25445
203.6 IPS |
|
|
Style Transfer (SP)
|
100% |
104286
134.1 IPS |
|
|
Style Transfer (HP)
|
100% |
278831
358.4 IPS |
|
|
Style Transfer (Q)
|
98% |
94923
122.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21626
798.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37249
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16716
619.0 IPS |
|
|
Text Classification (SP)
|
100% |
2981
3.98 KIPS |
|
|
Text Classification (HP)
|
99% |
3510
4.69 KIPS |
|
|
Text Classification (Q)
|
97% |
1679
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2771
47.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3031
52.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1374
25.8 IPS |
