ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
8011
Single Precision Score
11291
Half Precision Score
5736
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 04:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA |
| Motherboard | ASUSTeK COMPUTER INC. UM5606WA |
| Power Plan | Performances leves |
| 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% |
3382
629.0 IPS |
|
|
Image Classification (HP)
|
100% |
4664
867.3 IPS |
|
|
Image Classification (Q)
|
100% |
3005
558.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4264
69.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5626
91.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3559
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
38247
44.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
63586
74.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
27467
32.2 IPS |
|
|
Object Detection (SP)
|
100% |
2326
184.5 IPS |
|
|
Object Detection (HP)
|
100% |
3970
314.9 IPS |
|
|
Object Detection (Q)
|
87% |
2224
178.6 IPS |
|
|
Face Detection (SP)
|
100% |
6434
76.5 IPS |
|
|
Face Detection (HP)
|
100% |
11609
137.9 IPS |
|
|
Face Detection (Q)
|
97% |
5403
64.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19757
152.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
24320
187.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
14233
114.1 IPS |
|
|
Style Transfer (SP)
|
100% |
62612
80.5 IPS |
|
|
Style Transfer (HP)
|
100% |
103855
133.5 IPS |
|
|
Style Transfer (Q)
|
98% |
40204
51.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12959
478.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17943
662.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7325
271.2 IPS |
|
|
Text Classification (SP)
|
100% |
2438
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2652
3.54 KIPS |
|
|
Text Classification (Q)
|
97% |
1774
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3376
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3646
62.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1470
27.6 IPS |
