ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
2488
Single Precision Score
2604
Half Precision Score
6198
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | imholyagnostic |
| Upload Date | September 24 2024 11:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | 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% |
1388
258.0 IPS |
|
|
Image Classification (HP)
|
100% |
1277
237.4 IPS |
|
|
Image Classification (Q)
|
100% |
4084
759.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
722
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1133
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3266
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4920
5.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
4893
5.71 IPS |
|
|
Pose Estimation (Q)
|
98% |
19795
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
1472
116.8 IPS |
|
|
Object Detection (HP)
|
100% |
1471
116.7 IPS |
|
|
Object Detection (Q)
|
88% |
3697
296.4 IPS |
|
|
Face Detection (SP)
|
100% |
4254
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
4791
56.9 IPS |
|
|
Face Detection (Q)
|
100% |
8543
101.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4290
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4461
34.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
10746
83.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13454
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12417
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
30930
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2335
86.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2052
75.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6100
225.9 IPS |
|
|
Text Classification (SP)
|
100% |
950
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
923
1.23 KIPS |
|
|
Text Classification (Q)
|
92% |
1649
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2307
39.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2748
47.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3001
51.7 IPS |
