ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M3607KA_M3607KA
Geekbench AI Score
6356
Single Precision Score
10006
Half Precision Score
4731
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 13 2026 03:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 860M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Business (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M3607KA_M3607KA |
| Motherboard | ASUSTeK COMPUTER INC. M3607KA |
| Power Plan | Utilisation normale |
| 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% |
2229
414.6 IPS |
|
|
Image Classification (HP)
|
100% |
3700
688.0 IPS |
|
|
Image Classification (Q)
|
100% |
1669
310.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2578
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3765
61.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2913
47.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
32844
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
61034
71.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
25129
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
1826
144.8 IPS |
|
|
Object Detection (HP)
|
100% |
2821
223.8 IPS |
|
|
Object Detection (Q)
|
87% |
1579
126.8 IPS |
|
|
Face Detection (SP)
|
100% |
5488
65.2 IPS |
|
|
Face Detection (HP)
|
100% |
9586
113.9 IPS |
|
|
Face Detection (Q)
|
97% |
4626
55.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14224
109.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20058
154.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
10751
86.2 IPS |
|
|
Style Transfer (SP)
|
100% |
53297
68.5 IPS |
|
|
Style Transfer (HP)
|
100% |
92467
118.9 IPS |
|
|
Style Transfer (Q)
|
98% |
39562
51.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10440
385.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19893
734.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7092
262.6 IPS |
|
|
Text Classification (SP)
|
100% |
2140
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3272
4.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1618
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3364
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3626
62.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1290
24.2 IPS |
