ASUSTeK COMPUTER INC. ASUS Vivobook 16 V3607VU_V3607VU
Geekbench AI Score
13158
Single Precision Score
22573
Half Precision Score
10137
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 05:07 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% |
4698
873.6 IPS |
|
|
Image Classification (HP)
|
99% |
9114
1.70 KIPS |
|
|
Image Classification (Q)
|
99% |
4820
899.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
9676
156.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12283
199.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
8374
136.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
59151
69.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
190770
222.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
52432
61.4 IPS |
|
|
Object Detection (SP)
|
100% |
7100
563.2 IPS |
|
|
Object Detection (HP)
|
100% |
10383
823.6 IPS |
|
|
Object Detection (Q)
|
84% |
5007
403.8 IPS |
|
|
Face Detection (SP)
|
100% |
15603
185.4 IPS |
|
|
Face Detection (HP)
|
100% |
26409
313.8 IPS |
|
|
Face Detection (Q)
|
97% |
12455
148.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
27505
211.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
63435
488.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
23132
185.1 IPS |
|
|
Style Transfer (SP)
|
100% |
100471
129.2 IPS |
|
|
Style Transfer (HP)
|
100% |
268259
344.9 IPS |
|
|
Style Transfer (Q)
|
98% |
91320
117.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22611
834.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34126
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17530
649.1 IPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
99% |
3416
4.56 KIPS |
|
|
Text Classification (Q)
|
97% |
1671
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2836
48.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2958
51.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1404
26.3 IPS |
