ASUSTeK COMPUTER INC. ASUS Vivobook 16 V3607VU_V3607VU
Geekbench AI Score
2649
Single Precision Score
1251
Half Precision Score
4947
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 09:59 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% |
1637
304.5 IPS |
|
|
Image Classification (HP)
|
100% |
401
74.6 IPS |
|
|
Image Classification (Q)
|
99% |
3333
621.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
954
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
647
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2269
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4312
5.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
3372
3.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
14367
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2080
165.0 IPS |
|
|
Object Detection (HP)
|
100% |
555
44.0 IPS |
|
|
Object Detection (Q)
|
86% |
4449
357.6 IPS |
|
|
Face Detection (SP)
|
100% |
3995
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
1343
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
7180
85.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5847
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1987
15.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10113
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10238
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8296
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
15915
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2030
75.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1759
65.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3447
127.7 IPS |
|
|
Text Classification (SP)
|
100% |
1450
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
730
974.2 IPS |
|
|
Text Classification (Q)
|
97% |
1730
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1727
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2637
53.0 IPS |
