ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
2671
Single Precision Score
1366
Half Precision Score
4480
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | JustJosh |
| Upload Date | October 23 2024 08:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA |
| Motherboard | ASUSTeK COMPUTER INC. UM5606WA |
| 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% |
1352
251.5 IPS |
|
|
Image Classification (HP)
|
100% |
481
89.4 IPS |
|
|
Image Classification (Q)
|
99% |
3541
660.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
991
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
678
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2566
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6432
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
5151
6.01 IPS |
|
|
Pose Estimation (Q)
|
95% |
22796
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
1665
132.1 IPS |
|
|
Object Detection (HP)
|
100% |
606
48.0 IPS |
|
|
Object Detection (Q)
|
88% |
1865
149.5 IPS |
|
|
Face Detection (SP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
1324
15.7 IPS |
|
|
Face Detection (Q)
|
97% |
5288
63.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6028
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2053
15.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
5461
43.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11427
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11116
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
27511
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2165
80.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1906
70.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3386
125.4 IPS |
|
|
Text Classification (SP)
|
100% |
1312
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
640
853.9 IPS |
|
|
Text Classification (Q)
|
97% |
1416
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2184
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
605
10.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2215
49.4 IPS |
