ASUSTeK COMPUTER INC. ASUS Vivobook Pro 15 N6506MU_N6506MU
Geekbench ML Score
3396
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | lefrogjames7 |
| Upload Date | July 17 2024 05:14 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook Pro 15 N6506MU_N6506MU |
| Motherboard | ASUSTeK COMPUTER INC. N6506MU |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 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% |
1775
332.1 IPS |
|
|
Image Classification (F16)
|
100% |
1746
326.6 IPS |
|
|
Image Classification (I8)
|
99% |
2836
530.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1494
25.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1559
26.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2783
46.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6641
8.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
6568
7.95 IPS |
|
|
Pose Estimation (I8)
|
100% |
22629
27.4 IPS |
|
|
Object Detection (F32)
|
100% |
1782
133.1 IPS |
|
|
Object Detection (F16)
|
100% |
1832
136.8 IPS |
|
|
Object Detection (I8)
|
62% |
1554
116.0 IPS |
|
|
Face Detection (F32)
|
100% |
3365
40.0 IPS |
|
|
Face Detection (F16)
|
100% |
3473
41.3 IPS |
|
|
Face Detection (I8)
|
89% |
3747
44.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6987
54.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
7315
56.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
13820
107.2 IPS |
|
|
Style Transfer (F32)
|
100% |
15879
20.9 IPS |
|
|
Style Transfer (F16)
|
100% |
16287
21.4 IPS |
|
|
Style Transfer (I8)
|
98% |
17655
23.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2842
101.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2841
101.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4303
153.7 IPS |
|
|
Text Classification (F32)
|
100% |
1206
1.73 KIPS |
|
|
Text Classification (F16)
|
100% |
1150
1.65 KIPS |
|
|
Text Classification (I8)
|
98% |
444
637.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1894
34.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1826
33.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2855
52.5 IPS |
