ASUSTeK COMPUTER INC. ASUS Vivobook Pro 15 N6506MU_N6506MU
Geekbench ML Score
11527
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | lefrogjames7 |
| Upload Date | July 17 2024 05:17 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 | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5755
1.08 KIPS |
|
|
Image Classification (F16)
|
100% |
5752
1.08 KIPS |
|
|
Image Classification (I8)
|
100% |
5271
986.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
8920
149.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
7993
133.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
7367
123.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
56367
68.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
61692
74.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
50213
60.8 IPS |
|
|
Object Detection (F32)
|
100% |
4748
354.5 IPS |
|
|
Object Detection (F16)
|
100% |
4389
327.7 IPS |
|
|
Object Detection (I8)
|
61% |
4350
324.7 IPS |
|
|
Face Detection (F32)
|
100% |
15205
180.8 IPS |
|
|
Face Detection (F16)
|
100% |
15251
181.3 IPS |
|
|
Face Detection (I8)
|
89% |
12366
147.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
32766
254.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
24976
193.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
25681
199.2 IPS |
|
|
Style Transfer (F32)
|
100% |
109994
144.7 IPS |
|
|
Style Transfer (F16)
|
100% |
93322
122.8 IPS |
|
|
Style Transfer (I8)
|
98% |
87387
115.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20649
737.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19868
709.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14743
526.5 IPS |
|
|
Text Classification (F32)
|
100% |
2254
3.24 KIPS |
|
|
Text Classification (F16)
|
100% |
2235
3.21 KIPS |
|
|
Text Classification (I8)
|
98% |
1402
2.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
3326
61.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3298
60.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1937
35.7 IPS |
