ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
6877
Single Precision Score
9719
Half Precision Score
5132
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | September 08 2024 07:49 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA |
| Motherboard | ASUSTeK COMPUTER INC. UM5606WA |
| 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% |
2006
373.0 IPS |
|
|
Image Classification (HP)
|
100% |
4196
780.4 IPS |
|
|
Image Classification (Q)
|
100% |
1692
314.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4419
71.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5297
85.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3709
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
38744
45.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
54236
63.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
28035
32.8 IPS |
|
|
Object Detection (SP)
|
100% |
2288
181.5 IPS |
|
|
Object Detection (HP)
|
100% |
2645
209.8 IPS |
|
|
Object Detection (Q)
|
89% |
1957
156.6 IPS |
|
|
Face Detection (SP)
|
100% |
5998
71.3 IPS |
|
|
Face Detection (HP)
|
100% |
10105
120.1 IPS |
|
|
Face Detection (Q)
|
97% |
4664
55.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16170
124.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
21624
166.6 IPS |
|
|
Depth Estimation (Q)
|
73% |
12440
101.6 IPS |
|
|
Style Transfer (SP)
|
100% |
63875
82.1 IPS |
|
|
Style Transfer (HP)
|
100% |
99802
128.3 IPS |
|
|
Style Transfer (Q)
|
98% |
50910
65.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9450
348.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17381
641.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6496
240.5 IPS |
|
|
Text Classification (SP)
|
100% |
2331
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
2676
3.57 KIPS |
|
|
Text Classification (Q)
|
97% |
1705
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2208
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2326
40.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1126
25.1 IPS |
