ASUSTeK COMPUTER INC. ASUS Vivobook 16 M1607KA_D1607KA
Geekbench AI Score
6486
Single Precision Score
9898
Half Precision Score
4804
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 09:55 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 860M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook 16 M1607KA_D1607KA |
| Motherboard | ASUSTeK COMPUTER INC. M1607KA |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2261
420.5 IPS |
|
|
Image Classification (HP)
|
100% |
3405
633.2 IPS |
|
|
Image Classification (Q)
|
100% |
2067
384.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3455
56.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3735
60.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2817
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
30784
35.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
59316
69.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
24245
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
1788
141.8 IPS |
|
|
Object Detection (HP)
|
100% |
2930
232.4 IPS |
|
|
Object Detection (Q)
|
87% |
1699
136.5 IPS |
|
|
Face Detection (SP)
|
100% |
5486
65.2 IPS |
|
|
Face Detection (HP)
|
100% |
9638
114.5 IPS |
|
|
Face Detection (Q)
|
97% |
4659
55.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14171
109.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21076
162.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
10773
86.4 IPS |
|
|
Style Transfer (SP)
|
100% |
52149
67.0 IPS |
|
|
Style Transfer (HP)
|
100% |
94419
121.4 IPS |
|
|
Style Transfer (Q)
|
98% |
38721
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10380
383.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18906
698.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6696
247.9 IPS |
|
|
Text Classification (SP)
|
100% |
2164
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3108
4.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1547
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3365
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3625
62.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1357
25.4 IPS |
