ASUSTeK COMPUTER INC. ASUS Vivobook 16 V3607VU_V3607VU
Geekbench AI Score
12830
Single Precision Score
22736
Half Precision Score
10255
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 05:15 AM |
| Views | 3 |
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% |
4617
858.7 IPS |
|
|
Image Classification (HP)
|
99% |
8957
1.67 KIPS |
|
|
Image Classification (Q)
|
99% |
4747
885.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
9882
160.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13290
215.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8274
134.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
58606
68.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
201615
235.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
52517
61.5 IPS |
|
|
Object Detection (SP)
|
100% |
5741
455.3 IPS |
|
|
Object Detection (HP)
|
100% |
11676
926.1 IPS |
|
|
Object Detection (Q)
|
84% |
5788
466.9 IPS |
|
|
Face Detection (SP)
|
100% |
13111
155.8 IPS |
|
|
Face Detection (HP)
|
100% |
22130
262.9 IPS |
|
|
Face Detection (Q)
|
97% |
14023
167.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
29168
224.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
57686
444.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
22441
179.5 IPS |
|
|
Style Transfer (SP)
|
100% |
107632
138.4 IPS |
|
|
Style Transfer (HP)
|
100% |
248164
319.0 IPS |
|
|
Style Transfer (Q)
|
98% |
90584
116.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22428
828.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36346
1.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15810
585.4 IPS |
|
|
Text Classification (SP)
|
100% |
2963
3.95 KIPS |
|
|
Text Classification (HP)
|
99% |
3531
4.71 KIPS |
|
|
Text Classification (Q)
|
97% |
1671
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2879
49.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3241
55.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1432
26.9 IPS |
