Dell Inc. Latitude 5310
Geekbench AI Score
1291
Single Precision Score
536
Half Precision Score
1798
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | yocoka_ |
| Upload Date | February 17 2025 04:19 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% |
1169
217.3 IPS |
|
|
Image Classification (HP)
|
100% |
186
34.5 IPS |
|
|
Image Classification (Q)
|
96% |
1575
294.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
342
5.54 IPS |
|
|
Image Segmentation (Q)
|
97% |
1184
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1309
1.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
1073
1.25 IPS |
|
|
Pose Estimation (Q)
|
86% |
2565
3.03 IPS |
|
|
Object Detection (SP)
|
100% |
938
74.4 IPS |
|
|
Object Detection (HP)
|
100% |
263
20.8 IPS |
|
|
Object Detection (Q)
|
58% |
1095
119.6 IPS |
|
|
Face Detection (SP)
|
100% |
2124
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
586
6.96 IPS |
|
|
Face Detection (Q)
|
96% |
3017
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2298
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
666
5.13 IPS |
|
|
Depth Estimation (Q)
|
78% |
3331
26.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3909
5.03 IPS |
|
|
Style Transfer (HP)
|
100% |
2667
3.43 IPS |
|
|
Style Transfer (Q)
|
87% |
5471
7.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
834
30.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
664
24.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1246
46.2 IPS |
|
|
Text Classification (SP)
|
100% |
929
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
499
666.1 IPS |
|
|
Text Classification (Q)
|
97% |
933
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
321
5.53 IPS |
|
|
Machine Translation (Q)
|
68% |
1055
20.4 IPS |
