Dell Inc. Latitude 5410
Geekbench ML Score
1182
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| User | petergrip |
| Upload Date | August 16 2024 03:59 PM |
| Views | 1 |
System Information
| 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 |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 30.83 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1062
198.8 IPS |
|
|
Image Classification (F16)
|
100% |
1067
199.7 IPS |
|
|
Image Classification (I8)
|
99% |
509
95.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1195
20.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1192
19.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
594
9.93 IPS |
|
|
Pose Estimation (F32)
|
100% |
1559
1.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
1548
1.87 IPS |
|
|
Pose Estimation (I8)
|
100% |
1579
1.91 IPS |
|
|
Object Detection (F32)
|
100% |
1108
82.7 IPS |
|
|
Object Detection (F16)
|
100% |
1108
82.7 IPS |
|
|
Object Detection (I8)
|
65% |
628
46.9 IPS |
|
|
Face Detection (F32)
|
100% |
1661
19.8 IPS |
|
|
Face Detection (F16)
|
100% |
1662
19.8 IPS |
|
|
Face Detection (I8)
|
87% |
1234
14.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
1589
12.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
1592
12.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
1410
10.9 IPS |
|
|
Style Transfer (F32)
|
100% |
1969
2.59 IPS |
|
|
Style Transfer (F16)
|
100% |
1985
2.61 IPS |
|
|
Style Transfer (I8)
|
98% |
2581
3.39 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1096
39.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1121
40.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
925
33.0 IPS |
|
|
Text Classification (F32)
|
100% |
1086
1.56 KIPS |
|
|
Text Classification (F16)
|
100% |
1084
1.56 KIPS |
|
|
Text Classification (I8)
|
92% |
417
598.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1679
30.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1616
29.7 IPS |
|
|
Machine Translation (I8)
|
62% |
576
10.6 IPS |
