ASUSTeK COMPUTER INC. ASUS Adolbook 14 M5406UA_ADOL14UA
Geekbench ML Score
5089
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 12:25 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Adolbook 14 M5406UA_ADOL14UA |
| Motherboard | ASUSTeK COMPUTER INC. M5406UA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845H w/ Radeon 780M Graphics |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2742
513.2 IPS |
|
|
Image Classification (F16)
|
100% |
2761
516.7 IPS |
|
|
Image Classification (I8)
|
100% |
2440
456.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2807
46.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2801
46.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2456
41.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
36345
44.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
37290
45.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
26051
31.5 IPS |
|
|
Object Detection (F32)
|
100% |
1799
134.3 IPS |
|
|
Object Detection (F16)
|
100% |
1776
132.6 IPS |
|
|
Object Detection (I8)
|
62% |
1730
129.1 IPS |
|
|
Face Detection (F32)
|
100% |
5623
66.9 IPS |
|
|
Face Detection (F16)
|
100% |
5603
66.6 IPS |
|
|
Face Detection (I8)
|
89% |
4526
53.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
15173
117.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
15611
121.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
12175
94.4 IPS |
|
|
Style Transfer (F32)
|
100% |
28147
37.0 IPS |
|
|
Style Transfer (F16)
|
100% |
27679
36.4 IPS |
|
|
Style Transfer (I8)
|
98% |
25681
33.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5390
192.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5242
187.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4115
146.9 IPS |
|
|
Text Classification (F32)
|
100% |
1433
2.06 KIPS |
|
|
Text Classification (F16)
|
100% |
1482
2.13 KIPS |
|
|
Text Classification (I8)
|
98% |
1234
1.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
2407
44.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2401
44.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1571
28.9 IPS |
