ASUSTeK COMPUTER INC. ASUS Vivobook 16 V3607VU_V3607VU
Geekbench AI Score
2448
Single Precision Score
1191
Half Precision Score
4824
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 07:12 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) 5 210H |
| 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% |
1632
303.5 IPS |
|
|
Image Classification (HP)
|
100% |
394
73.3 IPS |
|
|
Image Classification (Q)
|
99% |
3404
634.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
909
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
595
9.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
2018
32.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3270
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2591
3.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
13975
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1899
150.6 IPS |
|
|
Object Detection (HP)
|
100% |
580
46.0 IPS |
|
|
Object Detection (Q)
|
86% |
4317
346.9 IPS |
|
|
Face Detection (SP)
|
100% |
3648
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
1245
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
7157
85.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5250
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1945
15.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
10588
84.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9783
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8044
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
15156
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1857
68.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1680
62.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3590
132.9 IPS |
|
|
Text Classification (SP)
|
100% |
1460
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
762
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1696
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1654
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
659
11.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2357
47.4 IPS |
