ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA
Geekbench AI Score
4819
Single Precision Score
4757
Half Precision Score
12133
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Lucky_n00b |
| Upload Date | September 17 2024 10:05 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA |
| Motherboard | ASUSTeK COMPUTER INC. M5406WA |
| Power Plan | Balanced |
| 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% |
3142
584.3 IPS |
|
|
Image Classification (HP)
|
100% |
2911
541.3 IPS |
|
|
Image Classification (Q)
|
100% |
7911
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2261
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2429
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7500
121.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7147
8.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
7115
8.30 IPS |
|
|
Pose Estimation (Q)
|
98% |
26628
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
2987
236.9 IPS |
|
|
Object Detection (HP)
|
100% |
2983
236.6 IPS |
|
|
Object Detection (Q)
|
88% |
8322
667.1 IPS |
|
|
Face Detection (SP)
|
100% |
8084
96.1 IPS |
|
|
Face Detection (HP)
|
100% |
8004
95.1 IPS |
|
|
Face Detection (Q)
|
100% |
21536
255.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8299
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8212
63.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
21311
165.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19115
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18679
24.0 IPS |
|
|
Style Transfer (Q)
|
98% |
65609
84.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3665
135.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3656
135.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11990
444.0 IPS |
|
|
Text Classification (SP)
|
100% |
2513
3.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2484
3.32 KIPS |
|
|
Text Classification (Q)
|
92% |
3404
4.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3776
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3552
61.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4281
73.7 IPS |
