ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M3607HA_M3607HA
Geekbench AI Score
4402
Single Precision Score
4430
Half Precision Score
12458
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 06 2025 05:04 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 270 w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M3607HA_M3607HA |
| Motherboard | ASUSTeK COMPUTER INC. M3607HA |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 270 w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2764
514.1 IPS |
|
|
Image Classification (HP)
|
100% |
2794
519.6 IPS |
|
|
Image Classification (Q)
|
100% |
8141
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3174
51.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2946
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8477
137.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5040
5.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
5033
5.87 IPS |
|
|
Pose Estimation (Q)
|
98% |
20843
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
2427
192.5 IPS |
|
|
Object Detection (HP)
|
100% |
2586
205.1 IPS |
|
|
Object Detection (Q)
|
88% |
8261
662.2 IPS |
|
|
Face Detection (SP)
|
100% |
6545
77.8 IPS |
|
|
Face Detection (HP)
|
100% |
6446
76.6 IPS |
|
|
Face Detection (Q)
|
100% |
20234
240.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6777
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6893
53.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
20343
158.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14222
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14229
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
54996
70.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3139
115.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3203
118.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10781
399.3 IPS |
|
|
Text Classification (SP)
|
100% |
2760
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2854
3.81 KIPS |
|
|
Text Classification (Q)
|
92% |
4908
6.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4666
80.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4712
81.2 IPS |
|
|
Machine Translation (Q)
|
100% |
6331
109.1 IPS |
