ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
2763
Single Precision Score
1397
Half Precision Score
4488
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 01:20 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 Zenbook S 16 UM5606WA_UM5606WA |
| Motherboard | ASUSTeK COMPUTER INC. UM5606WA |
| Power Plan | Balanced |
| 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% |
1374
255.6 IPS |
|
|
Image Classification (HP)
|
100% |
454
84.5 IPS |
|
|
Image Classification (Q)
|
99% |
3508
654.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
872
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
702
11.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2640
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7331
8.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
5541
6.46 IPS |
|
|
Pose Estimation (Q)
|
95% |
25349
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
1618
128.3 IPS |
|
|
Object Detection (HP)
|
100% |
587
46.6 IPS |
|
|
Object Detection (Q)
|
88% |
1798
144.1 IPS |
|
|
Face Detection (SP)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
1345
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
5215
62.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6130
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2189
16.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
5508
44.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15844
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13549
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
29684
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2182
80.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1975
72.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3364
124.6 IPS |
|
|
Text Classification (SP)
|
100% |
1346
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
608
811.3 IPS |
|
|
Text Classification (Q)
|
97% |
1294
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2110
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
573
9.86 IPS |
|
|
Machine Translation (Q)
|
60% |
2117
47.2 IPS |
