ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
4508
Single Precision Score
4650
Half Precision Score
11715
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | JustJosh |
| Upload Date | October 23 2024 08:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| 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 |
| 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% |
2902
539.8 IPS |
|
|
Image Classification (HP)
|
100% |
2904
540.0 IPS |
|
|
Image Classification (Q)
|
100% |
7726
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1757
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7290
118.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7366
8.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
7425
8.66 IPS |
|
|
Pose Estimation (Q)
|
98% |
28076
32.9 IPS |
|
|
Object Detection (SP)
|
100% |
2700
214.2 IPS |
|
|
Object Detection (HP)
|
100% |
2805
222.5 IPS |
|
|
Object Detection (Q)
|
88% |
7084
567.8 IPS |
|
|
Face Detection (SP)
|
100% |
7672
91.2 IPS |
|
|
Face Detection (HP)
|
100% |
7791
92.6 IPS |
|
|
Face Detection (Q)
|
100% |
19426
230.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8245
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8381
64.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
22265
173.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19422
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
19894
25.6 IPS |
|
|
Style Transfer (Q)
|
98% |
72028
92.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3868
142.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3946
145.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13174
487.9 IPS |
|
|
Text Classification (SP)
|
100% |
2490
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2426
3.24 KIPS |
|
|
Text Classification (Q)
|
92% |
3319
4.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3456
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3579
61.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3191
55.0 IPS |
