Dell Inc. Vostro 15 3530
Geekbench AI Score
1355
Single Precision Score
692
Half Precision Score
2832
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | MiSA |
| Upload Date | August 25 2025 10:18 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-1305U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Vostro 15 3530 |
| Motherboard | Dell Inc. 0R7GVP |
| Power Plan | Teljestmnycentrikus |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1305U |
| Topology | 1 Processor, 5 Cores, 6 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 1 Core |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1002
186.4 IPS |
|
|
Image Classification (HP)
|
100% |
321
59.6 IPS |
|
|
Image Classification (Q)
|
99% |
2150
401.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
471
7.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
2694
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1865
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1309
1.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
5681
6.66 IPS |
|
|
Object Detection (SP)
|
100% |
945
75.0 IPS |
|
|
Object Detection (HP)
|
100% |
361
28.6 IPS |
|
|
Object Detection (Q)
|
86% |
2120
170.4 IPS |
|
|
Face Detection (SP)
|
100% |
2177
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
807
9.59 IPS |
|
|
Face Detection (Q)
|
97% |
3851
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2429
18.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
996
7.68 IPS |
|
|
Depth Estimation (Q)
|
78% |
5218
41.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4616
5.93 IPS |
|
|
Style Transfer (HP)
|
100% |
3055
3.93 IPS |
|
|
Style Transfer (Q)
|
98% |
7865
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
961
35.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
740
27.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2123
78.6 IPS |
|
|
Text Classification (SP)
|
100% |
823
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
433
577.3 IPS |
|
|
Text Classification (Q)
|
97% |
1014
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1006
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
452
7.79 IPS |
|
|
Machine Translation (Q)
|
65% |
1401
28.1 IPS |
