ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop M6500QC_M6500QC
Geekbench ML Score
5493
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 29 2025 09:35 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 | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3019
565.0 IPS |
|
|
Image Classification (F16)
|
100% |
3101
580.3 IPS |
|
|
Image Classification (I8)
|
100% |
2435
455.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
4304
71.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
4042
67.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
3314
55.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
24098
29.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
26164
31.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
27249
33.0 IPS |
|
|
Object Detection (F32)
|
100% |
1916
143.0 IPS |
|
|
Object Detection (F16)
|
100% |
1895
141.5 IPS |
|
|
Object Detection (I8)
|
61% |
1855
138.5 IPS |
|
|
Face Detection (F32)
|
100% |
7680
91.3 IPS |
|
|
Face Detection (F16)
|
100% |
7640
90.8 IPS |
|
|
Face Detection (I8)
|
89% |
6052
72.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
17426
135.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
17159
133.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
13647
105.8 IPS |
|
|
Style Transfer (F32)
|
100% |
43922
57.8 IPS |
|
|
Style Transfer (F16)
|
100% |
40095
52.7 IPS |
|
|
Style Transfer (I8)
|
98% |
35999
47.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8255
294.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8143
290.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5308
189.6 IPS |
|
|
Text Classification (F32)
|
100% |
1077
1.55 KIPS |
|
|
Text Classification (F16)
|
100% |
1050
1.51 KIPS |
|
|
Text Classification (I8)
|
98% |
818
1.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
1826
33.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1862
34.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1003
18.5 IPS |
