ASUSTeK COMPUTER INC. ASUS Vivobook Pro 15 N6506MV_N6506MV
Geekbench AI Score
14973
Single Precision Score
25193
Half Precision Score
11723
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | npetroff |
| Upload Date | November 18 2024 08:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| 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% |
6049
1.12 KIPS |
|
|
Image Classification (HP)
|
99% |
10183
1.90 KIPS |
|
|
Image Classification (Q)
|
100% |
5536
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10719
173.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13722
222.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9745
158.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
76531
89.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
219528
256.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
68683
80.4 IPS |
|
|
Object Detection (SP)
|
100% |
7319
580.5 IPS |
|
|
Object Detection (HP)
|
100% |
12925
1.03 KIPS |
|
|
Object Detection (Q)
|
89% |
6060
485.1 IPS |
|
|
Face Detection (SP)
|
100% |
15915
189.1 IPS |
|
|
Face Detection (HP)
|
100% |
26590
315.9 IPS |
|
|
Face Detection (Q)
|
97% |
13704
163.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
33666
259.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
69560
537.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
28449
229.4 IPS |
|
|
Style Transfer (SP)
|
100% |
132572
170.4 IPS |
|
|
Style Transfer (HP)
|
100% |
336575
432.7 IPS |
|
|
Style Transfer (Q)
|
98% |
119363
153.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24345
898.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42236
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18570
687.6 IPS |
|
|
Text Classification (SP)
|
100% |
2832
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3010
4.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1784
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3185
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3283
56.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1417
31.6 IPS |
