ASUSTeK COMPUTER INC. ASUS Vivobook 16 V3607VU_V3607VU
Geekbench AI Score
13115
Single Precision Score
23799
Half Precision Score
10096
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 01:00 AM |
| Views | 5 |
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% |
4506
837.9 IPS |
|
|
Image Classification (HP)
|
99% |
10026
1.87 KIPS |
|
|
Image Classification (Q)
|
99% |
4768
889.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
9487
153.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12924
209.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8852
143.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
60692
70.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
194040
226.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
53227
62.4 IPS |
|
|
Object Detection (SP)
|
100% |
7081
561.7 IPS |
|
|
Object Detection (HP)
|
100% |
11867
941.3 IPS |
|
|
Object Detection (Q)
|
84% |
5215
420.6 IPS |
|
|
Face Detection (SP)
|
100% |
15533
184.6 IPS |
|
|
Face Detection (HP)
|
100% |
26080
309.9 IPS |
|
|
Face Detection (Q)
|
97% |
11912
142.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
27610
212.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
64920
500.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
23010
184.1 IPS |
|
|
Style Transfer (SP)
|
100% |
97787
125.7 IPS |
|
|
Style Transfer (HP)
|
100% |
274339
352.7 IPS |
|
|
Style Transfer (Q)
|
98% |
93188
120.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21540
795.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35907
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15732
582.5 IPS |
|
|
Text Classification (SP)
|
100% |
2956
3.94 KIPS |
|
|
Text Classification (HP)
|
99% |
3502
4.67 KIPS |
|
|
Text Classification (Q)
|
97% |
1646
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3070
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3346
57.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1421
26.6 IPS |
