ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop M6500QC_M6500QC
Geekbench ML Score
1916
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 29 2025 09:33 PM |
| Views | 5 |
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 | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
833
155.8 IPS |
|
|
Image Classification (F16)
|
100% |
887
166.0 IPS |
|
|
Image Classification (I8)
|
99% |
674
126.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1001
16.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1012
16.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
862
14.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
9199
11.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
9145
11.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
7745
9.38 IPS |
|
|
Object Detection (F32)
|
100% |
766
57.2 IPS |
|
|
Object Detection (F16)
|
100% |
769
57.4 IPS |
|
|
Object Detection (I8)
|
67% |
703
52.5 IPS |
|
|
Face Detection (F32)
|
100% |
1781
21.2 IPS |
|
|
Face Detection (F16)
|
100% |
1755
20.9 IPS |
|
|
Face Detection (I8)
|
89% |
1395
16.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
4399
34.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
4547
35.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
3582
27.8 IPS |
|
|
Style Transfer (F32)
|
100% |
16151
21.2 IPS |
|
|
Style Transfer (F16)
|
100% |
16047
21.1 IPS |
|
|
Style Transfer (I8)
|
98% |
12754
16.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3223
115.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3099
110.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2165
77.3 IPS |
|
|
Text Classification (F32)
|
100% |
618
888.0 IPS |
|
|
Text Classification (F16)
|
100% |
624
896.8 IPS |
|
|
Text Classification (I8)
|
98% |
436
626.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1066
19.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1059
19.5 IPS |
|
|
Machine Translation (I8)
|
69% |
605
11.1 IPS |
