ASUSTeK COMPUTER INC. ASUS Vivobook Pro 15 N6506MV_N6506MV
Geekbench AI Score
2429
Single Precision Score
1038
Half Precision Score
1781
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | npetroff |
| Upload Date | November 18 2024 08:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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% |
982
182.7 IPS |
|
|
Image Classification (HP)
|
0% |
0
646.9 IPS |
|
|
Image Classification (Q)
|
99% |
913
170.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1150
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5345
86.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
991
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9560
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
15508
18.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
8485
9.94 IPS |
|
|
Object Detection (SP)
|
100% |
985
78.1 IPS |
|
|
Object Detection (HP)
|
0% |
0
278.2 IPS |
|
|
Object Detection (Q)
|
89% |
813
65.0 IPS |
|
|
Face Detection (SP)
|
100% |
849
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
5649
67.1 IPS |
|
|
Face Detection (Q)
|
97% |
688
8.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
5566
42.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
15290
118.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
4417
35.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30582
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
48873
62.8 IPS |
|
|
Style Transfer (Q)
|
98% |
21639
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5701
210.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7627
281.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3592
133.0 IPS |
|
|
Text Classification (SP)
|
86% |
684
925.0 IPS |
|
|
Text Classification (HP)
|
99% |
487
649.6 IPS |
|
|
Text Classification (Q)
|
83% |
428
582.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1196
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1126
19.4 IPS |
|
|
Machine Translation (Q)
|
60% |
509
11.4 IPS |
