ASUSTeK COMPUTER INC. ASUS Vivobook Pro 15 N6506CU_N6506CU
Geekbench ML Score
4376
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 05 2025 05:05 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook Pro 15 N6506CU_N6506CU |
| Motherboard | ASUSTeK COMPUTER INC. N6506CU |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 3.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2226
416.6 IPS |
|
|
Image Classification (F16)
|
100% |
2265
423.8 IPS |
|
|
Image Classification (I8)
|
99% |
4086
764.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1904
31.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1919
32.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
3391
56.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
8094
9.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
8264
10.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
31047
37.6 IPS |
|
|
Object Detection (F32)
|
100% |
2157
161.0 IPS |
|
|
Object Detection (F16)
|
100% |
2110
157.5 IPS |
|
|
Object Detection (I8)
|
62% |
2015
150.4 IPS |
|
|
Face Detection (F32)
|
100% |
3851
45.8 IPS |
|
|
Face Detection (F16)
|
100% |
3978
47.3 IPS |
|
|
Face Detection (I8)
|
89% |
4805
57.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
8926
69.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
9123
70.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
16752
129.9 IPS |
|
|
Style Transfer (F32)
|
100% |
18577
24.4 IPS |
|
|
Style Transfer (F16)
|
100% |
18586
24.4 IPS |
|
|
Style Transfer (I8)
|
98% |
22689
29.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3753
134.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3688
131.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6099
217.8 IPS |
|
|
Text Classification (F32)
|
100% |
1357
1.95 KIPS |
|
|
Text Classification (F16)
|
100% |
1355
1.95 KIPS |
|
|
Text Classification (I8)
|
98% |
1282
1.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
2311
42.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2318
42.7 IPS |
|
|
Machine Translation (I8)
|
67% |
4201
77.3 IPS |
