ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M5606UA_M5606UA
Geekbench AI Score
2253
Single Precision Score
1242
Half Precision Score
3473
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 07:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M5606UA_M5606UA |
| Motherboard | ASUSTeK COMPUTER INC. M5606UA |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
813
151.2 IPS |
|
|
Image Classification (HP)
|
100% |
450
83.6 IPS |
|
|
Image Classification (Q)
|
99% |
4489
837.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1037
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
740
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2148
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4055
4.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3371
3.93 IPS |
|
|
Pose Estimation (Q)
|
95% |
17062
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.8 IPS |
|
|
Object Detection (HP)
|
100% |
572
45.4 IPS |
|
|
Object Detection (Q)
|
88% |
1601
128.4 IPS |
|
|
Face Detection (SP)
|
100% |
2751
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
1335
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
4487
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4862
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1921
14.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
4555
36.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9717
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8957
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22564
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1723
63.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1615
59.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2972
110.0 IPS |
|
|
Text Classification (SP)
|
100% |
1522
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
630
841.4 IPS |
|
|
Text Classification (Q)
|
97% |
379
507.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1843
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1866
41.6 IPS |
