Dell Inc. Latitude 5410
Geekbench AI Score
1276
Single Precision Score
1286
Half Precision Score
753
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | petergrip |
| Upload Date | August 16 2024 03:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-10810U |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 LTS |
| Model | Dell Inc. Latitude 5410 |
| Motherboard | Dell Inc. 0F3R8H |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10810U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 166 Stepping 0 |
| Base Frequency | 4.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1084
201.6 IPS |
|
|
Image Classification (HP)
|
100% |
1079
200.6 IPS |
|
|
Image Classification (Q)
|
99% |
554
103.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1253
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1250
20.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
620
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1647
1.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1192
1.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
1097
1.29 IPS |
|
|
Object Detection (SP)
|
100% |
1004
79.6 IPS |
|
|
Object Detection (HP)
|
100% |
1082
85.8 IPS |
|
|
Object Detection (Q)
|
86% |
480
38.6 IPS |
|
|
Face Detection (SP)
|
100% |
1650
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
1623
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
1206
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1258
9.69 IPS |
|
|
Depth Estimation (HP)
|
100% |
1410
10.9 IPS |
|
|
Depth Estimation (Q)
|
74% |
1065
8.65 IPS |
|
|
Style Transfer (SP)
|
100% |
1770
2.27 IPS |
|
|
Style Transfer (HP)
|
100% |
1825
2.35 IPS |
|
|
Style Transfer (Q)
|
98% |
2521
3.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
878
32.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
986
36.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
691
25.6 IPS |
|
|
Text Classification (SP)
|
100% |
1154
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1143
1.53 KIPS |
|
|
Text Classification (Q)
|
92% |
421
565.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1379
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1521
26.2 IPS |
|
|
Machine Translation (Q)
|
58% |
345
8.10 IPS |
