ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M5606WA_M5606WA
Geekbench AI Score
4868
Single Precision Score
4892
Half Precision Score
12445
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 03 2024 12:16 AM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M5606WA_M5606WA |
| Motherboard | ASUSTeK COMPUTER INC. M5606WA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2650
492.8 IPS |
|
|
Image Classification (HP)
|
100% |
2695
501.3 IPS |
|
|
Image Classification (Q)
|
100% |
7500
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2215
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2225
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7783
126.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8142
9.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
8302
9.69 IPS |
|
|
Pose Estimation (Q)
|
98% |
29737
34.8 IPS |
|
|
Object Detection (SP)
|
100% |
2933
232.6 IPS |
|
|
Object Detection (HP)
|
100% |
2851
226.1 IPS |
|
|
Object Detection (Q)
|
88% |
8419
674.9 IPS |
|
|
Face Detection (SP)
|
100% |
8625
102.5 IPS |
|
|
Face Detection (HP)
|
100% |
8554
101.6 IPS |
|
|
Face Detection (Q)
|
100% |
21072
250.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8433
65.0 IPS |
|
|
Depth Estimation (HP)
|
100% |
8452
65.1 IPS |
|
|
Depth Estimation (Q)
|
80% |
21136
167.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20413
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20025
25.7 IPS |
|
|
Style Transfer (Q)
|
98% |
75171
96.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3992
147.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4068
150.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13159
487.3 IPS |
|
|
Text Classification (SP)
|
100% |
2404
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
2474
3.30 KIPS |
|
|
Text Classification (Q)
|
92% |
3146
4.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3744
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3797
65.4 IPS |
|
|
Machine Translation (Q)
|
85% |
4403
77.0 IPS |
