ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
4476
Single Precision Score
4528
Half Precision Score
11367
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | JustJosh |
| Upload Date | October 23 2024 08:23 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| 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 9 365 w/ Radeon 880M |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2662
495.0 IPS |
|
|
Image Classification (HP)
|
100% |
2749
511.2 IPS |
|
|
Image Classification (Q)
|
100% |
7280
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2222
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2256
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6667
108.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6386
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
6514
7.60 IPS |
|
|
Pose Estimation (Q)
|
98% |
25246
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
2692
213.6 IPS |
|
|
Object Detection (HP)
|
100% |
2777
220.3 IPS |
|
|
Object Detection (Q)
|
88% |
7709
618.0 IPS |
|
|
Face Detection (SP)
|
100% |
8159
96.9 IPS |
|
|
Face Detection (HP)
|
100% |
7974
94.8 IPS |
|
|
Face Detection (Q)
|
100% |
19814
235.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7726
59.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7872
60.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
19985
155.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17320
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
17436
22.4 IPS |
|
|
Style Transfer (Q)
|
98% |
64730
83.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3587
132.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3621
133.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12083
447.5 IPS |
|
|
Text Classification (SP)
|
100% |
2358
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
2399
3.20 KIPS |
|
|
Text Classification (Q)
|
92% |
3272
4.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3443
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3404
58.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3764
64.8 IPS |
