Dell Inc. Latitude 5510
Geekbench AI Score
1360
Single Precision Score
625
Half Precision Score
1987
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | yocoka_ |
| Upload Date | February 17 2025 12:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10210U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 5510 |
| Motherboard | Dell Inc. 0HT7GC |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10210U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1193
221.9 IPS |
|
|
Image Classification (HP)
|
100% |
282
52.4 IPS |
|
|
Image Classification (Q)
|
96% |
1877
350.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
560
9.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
399
6.47 IPS |
|
|
Image Segmentation (Q)
|
97% |
1308
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2432
2.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1590
1.85 IPS |
|
|
Pose Estimation (Q)
|
86% |
3615
4.27 IPS |
|
|
Object Detection (SP)
|
100% |
955
75.7 IPS |
|
|
Object Detection (HP)
|
100% |
289
22.9 IPS |
|
|
Object Detection (Q)
|
58% |
1329
145.2 IPS |
|
|
Face Detection (SP)
|
100% |
1417
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
551
6.54 IPS |
|
|
Face Detection (Q)
|
96% |
3157
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2581
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
813
6.27 IPS |
|
|
Depth Estimation (Q)
|
78% |
3784
30.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4441
5.71 IPS |
|
|
Style Transfer (HP)
|
100% |
3186
4.10 IPS |
|
|
Style Transfer (Q)
|
87% |
5011
6.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
989
36.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
728
26.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1365
50.6 IPS |
|
|
Text Classification (SP)
|
100% |
948
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
493
657.6 IPS |
|
|
Text Classification (Q)
|
97% |
971
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
919
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
345
5.94 IPS |
|
|
Machine Translation (Q)
|
68% |
1029
19.9 IPS |
