Dell Inc. Vostro 15 3510
Geekbench AI Score
1289
Single Precision Score
685
Half Precision Score
2831
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ttson1607 |
| Upload Date | February 18 2025 08:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Vostro 15 3510 |
| Motherboard | Dell Inc. 0818KM |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
800
148.9 IPS |
|
|
Image Classification (HP)
|
100% |
266
49.5 IPS |
|
|
Image Classification (Q)
|
99% |
2262
421.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
472
7.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
370
6.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
1442
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1439
1.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
1380
1.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
6707
7.86 IPS |
|
|
Object Detection (SP)
|
100% |
1041
82.5 IPS |
|
|
Object Detection (HP)
|
100% |
368
29.2 IPS |
|
|
Object Detection (Q)
|
86% |
2739
220.1 IPS |
|
|
Face Detection (SP)
|
100% |
1890
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
777
9.23 IPS |
|
|
Face Detection (Q)
|
97% |
4460
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2563
19.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1035
7.97 IPS |
|
|
Depth Estimation (Q)
|
78% |
5859
46.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5210
6.70 IPS |
|
|
Style Transfer (HP)
|
100% |
3411
4.39 IPS |
|
|
Style Transfer (Q)
|
98% |
8435
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
960
35.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
870
32.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1934
71.6 IPS |
|
|
Text Classification (SP)
|
100% |
959
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
523
697.8 IPS |
|
|
Text Classification (Q)
|
97% |
1016
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
969
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
369
6.35 IPS |
|
|
Machine Translation (Q)
|
65% |
1278
25.7 IPS |
