ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M5606UA_M5606UA
Geekbench ML Score
2298
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 20 2024 08:17 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M5606UA_M5606UA |
| Motherboard | ASUSTeK COMPUTER INC. M5606UA |
| Power Plan | Gebalanceerd |
| 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 |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
868
162.5 IPS |
|
|
Image Classification (F16)
|
100% |
914
171.0 IPS |
|
|
Image Classification (I8)
|
100% |
791
148.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1227
20.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1306
21.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1083
18.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
15615
18.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
14847
18.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
10205
12.4 IPS |
|
|
Object Detection (F32)
|
100% |
852
63.6 IPS |
|
|
Object Detection (F16)
|
100% |
831
62.0 IPS |
|
|
Object Detection (I8)
|
62% |
752
56.2 IPS |
|
|
Face Detection (F32)
|
100% |
1784
21.2 IPS |
|
|
Face Detection (F16)
|
100% |
1828
21.7 IPS |
|
|
Face Detection (I8)
|
89% |
1353
16.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6491
50.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
6738
52.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
4887
37.9 IPS |
|
|
Style Transfer (F32)
|
100% |
24119
31.7 IPS |
|
|
Style Transfer (F16)
|
100% |
24820
32.6 IPS |
|
|
Style Transfer (I8)
|
98% |
16610
21.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4623
165.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4518
161.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2981
106.4 IPS |
|
|
Text Classification (F32)
|
100% |
702
1.01 KIPS |
|
|
Text Classification (F16)
|
100% |
395
567.8 IPS |
|
|
Text Classification (I8)
|
98% |
457
656.5 IPS |
|
|
Machine Translation (F32)
|
100% |
980
18.0 IPS |
|
|
Machine Translation (F16)
|
100% |
972
17.9 IPS |
|
|
Machine Translation (I8)
|
70% |
722
13.3 IPS |
