Dell Inc. Vostro 15 3530
Geekbench AI Score
2924
Single Precision Score
4282
Half Precision Score
6608
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | MiSA |
| Upload Date | August 25 2025 10:34 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1759
327.1 IPS |
|
|
Image Classification (HP)
|
100% |
2585
480.8 IPS |
|
|
Image Classification (Q)
|
99% |
3658
682.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2503
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4287
69.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5159
83.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6114
7.13 IPS |
|
|
Pose Estimation (HP)
|
99% |
4456
5.20 IPS |
|
|
Pose Estimation (Q)
|
97% |
19879
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
1757
139.3 IPS |
|
|
Object Detection (HP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (Q)
|
90% |
4115
329.0 IPS |
|
|
Face Detection (SP)
|
100% |
3936
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
7420
88.2 IPS |
|
|
Face Detection (Q)
|
100% |
11506
136.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6229
48.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10391
80.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
14267
110.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15445
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23204
29.8 IPS |
|
|
Style Transfer (Q)
|
98% |
43700
56.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2611
96.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3969
146.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7827
289.9 IPS |
|
|
Text Classification (SP)
|
71% |
1006
1.46 KIPS |
|
|
Text Classification (HP)
|
71% |
1219
1.76 KIPS |
|
|
Text Classification (Q)
|
92% |
1054
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
973
16.8 IPS |
|
|
Machine Translation (HP)
|
98% |
1817
31.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1738
30.0 IPS |
