Dell Inc. Latitude 5310
Geekbench AI Score
1343
Single Precision Score
529
Half Precision Score
1768
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | yocoka_ |
| Upload Date | February 17 2025 03:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10610U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 5310 |
| Motherboard | Dell Inc. 0KT2NC |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10610U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1614
300.2 IPS |
|
|
Image Classification (HP)
|
100% |
204
38.0 IPS |
|
|
Image Classification (Q)
|
96% |
1719
321.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
671
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
351
5.70 IPS |
|
|
Image Segmentation (Q)
|
97% |
1208
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1358
1.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
1083
1.26 IPS |
|
|
Pose Estimation (Q)
|
86% |
2644
3.13 IPS |
|
|
Object Detection (SP)
|
100% |
930
73.8 IPS |
|
|
Object Detection (HP)
|
100% |
257
20.4 IPS |
|
|
Object Detection (Q)
|
58% |
1134
123.9 IPS |
|
|
Face Detection (SP)
|
100% |
2105
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
595
7.07 IPS |
|
|
Face Detection (Q)
|
96% |
3126
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2185
16.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
644
4.96 IPS |
|
|
Depth Estimation (Q)
|
78% |
2375
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3915
5.03 IPS |
|
|
Style Transfer (HP)
|
100% |
2512
3.23 IPS |
|
|
Style Transfer (Q)
|
87% |
5502
7.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
814
30.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
595
22.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1175
43.5 IPS |
|
|
Text Classification (SP)
|
100% |
1045
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
477
637.3 IPS |
|
|
Text Classification (Q)
|
97% |
962
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
321
5.52 IPS |
|
|
Machine Translation (Q)
|
68% |
1043
20.2 IPS |
