Dell Inc. Vostro 15 3510
Geekbench AI Score
700
Single Precision Score
888
Half Precision Score
529
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 02:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Vostro 15 3510 |
| Motherboard | Dell Inc. 03TWHM |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1005G1 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.19 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
322
59.9 IPS |
|
|
Image Classification (HP)
|
100% |
356
66.2 IPS |
|
|
Image Classification (Q)
|
100% |
304
56.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
330
5.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
503
8.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
327
5.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
2160
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3446
4.02 IPS |
|
|
Pose Estimation (Q)
|
95% |
1419
1.66 IPS |
|
|
Object Detection (SP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (HP)
|
98% |
354
28.2 IPS |
|
|
Object Detection (Q)
|
86% |
298
23.9 IPS |
|
|
Face Detection (SP)
|
100% |
549
6.52 IPS |
|
|
Face Detection (HP)
|
100% |
763
9.07 IPS |
|
|
Face Detection (Q)
|
97% |
440
5.24 IPS |
|
|
Depth Estimation (SP)
|
100% |
1386
10.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
1753
13.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
1110
8.91 IPS |
|
|
Style Transfer (SP)
|
100% |
5758
7.40 IPS |
|
|
Style Transfer (HP)
|
100% |
8490
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
4124
5.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
864
31.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1499
55.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
531
19.7 IPS |
|
|
Text Classification (SP)
|
100% |
298
397.6 IPS |
|
|
Text Classification (HP)
|
100% |
191
255.0 IPS |
|
|
Text Classification (Q)
|
97% |
184
246.9 IPS |
|
|
Machine Translation (SP)
|
100% |
391
6.73 IPS |
|
|
Machine Translation (HP)
|
100% |
431
7.42 IPS |
|
|
Machine Translation (Q)
|
70% |
211
3.96 IPS |
