ASUSTeK COMPUTER INC. ASUS Vivobook Pro 15 N6506MV_N6506MV
Geekbench AI Score
9585
Single Precision Score
16757
Half Precision Score
7427
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 06 2025 04:11 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
6576
1.22 KIPS |
|
|
Image Classification (HP)
|
99% |
10387
1.94 KIPS |
|
|
Image Classification (Q)
|
99% |
5820
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11759
190.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16096
260.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10607
172.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
74466
86.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
218954
255.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
68072
79.8 IPS |
|
|
Object Detection (SP)
|
100% |
2856
226.6 IPS |
|
|
Object Detection (HP)
|
100% |
5055
401.0 IPS |
|
|
Object Detection (Q)
|
84% |
2786
224.7 IPS |
|
|
Face Detection (SP)
|
100% |
8650
102.8 IPS |
|
|
Face Detection (HP)
|
100% |
12564
149.3 IPS |
|
|
Face Detection (Q)
|
97% |
8490
101.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15273
117.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
36465
280.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
13347
106.8 IPS |
|
|
Style Transfer (SP)
|
100% |
66668
85.7 IPS |
|
|
Style Transfer (HP)
|
100% |
121825
156.6 IPS |
|
|
Style Transfer (Q)
|
98% |
50405
65.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11077
409.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39824
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19710
729.8 IPS |
|
|
Text Classification (SP)
|
100% |
2597
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
2694
3.60 KIPS |
|
|
Text Classification (Q)
|
97% |
491
658.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1571
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1576
27.1 IPS |
|
|
Machine Translation (Q)
|
70% |
790
14.8 IPS |
