ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop M6500QC_M6500QC
Geekbench ML Score
997
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 29 2025 09:30 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop M6500QC_M6500QC |
| Motherboard | ASUSTeK COMPUTER INC. M6500QC |
| Power Plan | Kiegyenslyozott |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
502
94.0 IPS |
|
|
Image Classification (F16)
|
100% |
541
101.3 IPS |
|
|
Image Classification (I8)
|
97% |
974
182.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
518
8.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
493
8.24 IPS |
|
|
Image Segmentation (I8)
|
97% |
851
14.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
1647
1.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
1633
1.98 IPS |
|
|
Pose Estimation (I8)
|
100% |
3596
4.35 IPS |
|
|
Object Detection (F32)
|
100% |
560
41.8 IPS |
|
|
Object Detection (F16)
|
100% |
574
42.9 IPS |
|
|
Object Detection (I8)
|
60% |
555
41.5 IPS |
|
|
Face Detection (F32)
|
100% |
935
11.1 IPS |
|
|
Face Detection (F16)
|
100% |
921
10.9 IPS |
|
|
Face Detection (I8)
|
87% |
1532
18.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
1877
14.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
1734
13.4 IPS |
|
|
Depth Estimation (I8)
|
74% |
3328
25.8 IPS |
|
|
Style Transfer (F32)
|
100% |
3689
4.85 IPS |
|
|
Style Transfer (F16)
|
100% |
3715
4.89 IPS |
|
|
Style Transfer (I8)
|
85% |
5665
7.45 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
685
24.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
631
22.5 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
947
33.8 IPS |
|
|
Text Classification (F32)
|
100% |
472
678.9 IPS |
|
|
Text Classification (F16)
|
100% |
479
689.0 IPS |
|
|
Text Classification (I8)
|
94% |
287
412.2 IPS |
|
|
Machine Translation (F32)
|
100% |
630
11.6 IPS |
|
|
Machine Translation (F16)
|
100% |
575
10.6 IPS |
|
|
Machine Translation (I8)
|
67% |
873
16.1 IPS |
