ASUSTeK COMPUTER INC. ASUS Vivobook Pro 15 N6506CU_N6506CU
Geekbench ML Score
11146
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 05 2025 05:14 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 | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5386
1.01 KIPS |
|
|
Image Classification (F16)
|
100% |
5325
996.4 IPS |
|
|
Image Classification (I8)
|
100% |
4842
906.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
8026
134.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
7862
131.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
7347
122.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
55892
67.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
60831
73.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
49705
60.2 IPS |
|
|
Object Detection (F32)
|
100% |
4652
347.3 IPS |
|
|
Object Detection (F16)
|
100% |
4670
348.7 IPS |
|
|
Object Detection (I8)
|
61% |
4231
315.9 IPS |
|
|
Face Detection (F32)
|
100% |
13869
164.9 IPS |
|
|
Face Detection (F16)
|
100% |
14298
170.0 IPS |
|
|
Face Detection (I8)
|
89% |
11913
141.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
27706
214.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
27251
211.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
25067
194.4 IPS |
|
|
Style Transfer (F32)
|
100% |
92628
121.8 IPS |
|
|
Style Transfer (F16)
|
100% |
92419
121.6 IPS |
|
|
Style Transfer (I8)
|
98% |
82242
108.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20128
718.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20617
736.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14801
528.6 IPS |
|
|
Text Classification (F32)
|
100% |
2197
3.16 KIPS |
|
|
Text Classification (F16)
|
100% |
2397
3.44 KIPS |
|
|
Text Classification (I8)
|
98% |
1408
2.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
3178
58.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3158
58.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1805
33.2 IPS |
