ASUSTeK COMPUTER INC. ASUS Vivobook Pro 15 N6506MV_N6506MV
Geekbench AI Score
5690
Single Precision Score
9108
Half Precision Score
13723
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | npetroff |
| Upload Date | November 18 2024 08:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook Pro 15 N6506MV_N6506MV |
| Motherboard | ASUSTeK COMPUTER INC. N6506MV |
| 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 |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4060
755.1 IPS |
|
|
Image Classification (HP)
|
100% |
5935
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
7044
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2799
45.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7210
116.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9904
160.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16265
19.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
16645
19.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
53734
62.9 IPS |
|
|
Object Detection (SP)
|
100% |
3768
298.9 IPS |
|
|
Object Detection (HP)
|
100% |
5983
474.6 IPS |
|
|
Object Detection (Q)
|
88% |
8449
677.1 IPS |
|
|
Face Detection (SP)
|
100% |
5101
60.6 IPS |
|
|
Face Detection (HP)
|
100% |
11897
141.4 IPS |
|
|
Face Detection (Q)
|
100% |
21665
257.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13562
104.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
23829
184.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
27638
214.8 IPS |
|
|
Style Transfer (SP)
|
100% |
37854
48.7 IPS |
|
|
Style Transfer (HP)
|
100% |
49838
64.1 IPS |
|
|
Style Transfer (Q)
|
98% |
119641
154.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6409
236.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11668
430.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16670
617.3 IPS |
|
|
Text Classification (SP)
|
71% |
1608
2.33 KIPS |
|
|
Text Classification (HP)
|
71% |
2092
3.03 KIPS |
|
|
Text Classification (Q)
|
92% |
2221
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1894
32.6 IPS |
|
|
Machine Translation (HP)
|
96% |
2674
46.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2820
48.6 IPS |
