ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M5606WA_M5606WA
Geekbench AI Score
4994
Single Precision Score
5010
Half Precision Score
12733
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | SDAOnliner |
| Upload Date | October 15 2024 08:46 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M5606WA_M5606WA |
| Motherboard | ASUSTeK COMPUTER INC. M5606WA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 w/ Radeon 880M |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3228
600.3 IPS |
|
|
Image Classification (HP)
|
100% |
3141
584.1 IPS |
|
|
Image Classification (Q)
|
100% |
8215
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2545
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2712
44.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7677
124.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7189
8.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
7149
8.34 IPS |
|
|
Pose Estimation (Q)
|
98% |
28162
33.0 IPS |
|
|
Object Detection (SP)
|
100% |
3117
247.3 IPS |
|
|
Object Detection (HP)
|
100% |
3125
247.9 IPS |
|
|
Object Detection (Q)
|
88% |
8629
691.7 IPS |
|
|
Face Detection (SP)
|
100% |
8141
96.7 IPS |
|
|
Face Detection (HP)
|
100% |
8302
98.6 IPS |
|
|
Face Detection (Q)
|
100% |
23281
276.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8684
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8679
66.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
21710
168.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19352
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
19381
24.9 IPS |
|
|
Style Transfer (Q)
|
98% |
72604
93.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3869
142.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3799
140.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12861
476.3 IPS |
|
|
Text Classification (SP)
|
100% |
2731
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2636
3.52 KIPS |
|
|
Text Classification (Q)
|
92% |
3582
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3627
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3744
64.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4324
74.5 IPS |
