ASUSTeK COMPUTER INC. ASUS Adolbook 14 M5406UA_ADOL14UA
Geekbench ML Score
2852
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 12:29 PM |
| Views | 7 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1503
281.2 IPS |
|
|
Image Classification (F16)
|
100% |
1445
270.4 IPS |
|
|
Image Classification (I8)
|
99% |
4067
761.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
984
16.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
987
16.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2033
33.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
4629
5.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
4822
5.84 IPS |
|
|
Pose Estimation (I8)
|
100% |
20903
25.3 IPS |
|
|
Object Detection (F32)
|
100% |
1467
109.5 IPS |
|
|
Object Detection (F16)
|
100% |
1446
108.0 IPS |
|
|
Object Detection (I8)
|
62% |
1420
106.0 IPS |
|
|
Face Detection (F32)
|
100% |
2844
33.8 IPS |
|
|
Face Detection (F16)
|
100% |
2723
32.4 IPS |
|
|
Face Detection (I8)
|
89% |
4541
54.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5081
39.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
5047
39.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
13102
101.6 IPS |
|
|
Style Transfer (F32)
|
100% |
10603
13.9 IPS |
|
|
Style Transfer (F16)
|
100% |
10217
13.4 IPS |
|
|
Style Transfer (I8)
|
98% |
22667
29.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1927
68.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1951
69.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3139
112.1 IPS |
|
|
Text Classification (F32)
|
100% |
1366
1.96 KIPS |
|
|
Text Classification (F16)
|
100% |
1414
2.03 KIPS |
|
|
Text Classification (I8)
|
98% |
354
508.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1816
33.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1833
33.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2369
43.6 IPS |
