samsung SM-X810
Geekbench ML Score
659
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | February 23 2024 01:17 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X810 |
| Model ID | samsung SM-X810 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 10.91 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
309
57.8 IPS |
|
|
Image Classification (F16)
|
100% |
299
56.0 IPS |
|
|
Image Classification (I8)
|
97% |
768
143.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
367
6.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
367
6.12 IPS |
|
|
Image Segmentation (I8)
|
98% |
748
12.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
506
0.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
508
0.62 IPS |
|
|
Pose Estimation (I8)
|
100% |
2082
2.52 IPS |
|
|
Object Detection (F32)
|
100% |
315
23.5 IPS |
|
|
Object Detection (F16)
|
100% |
313
23.3 IPS |
|
|
Object Detection (I8)
|
61% |
873
65.2 IPS |
|
|
Face Detection (F32)
|
100% |
722
8.59 IPS |
|
|
Face Detection (F16)
|
100% |
710
8.45 IPS |
|
|
Face Detection (I8)
|
86% |
1606
19.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
625
4.85 IPS |
|
|
Depth Estimation (F16)
|
100% |
628
4.87 IPS |
|
|
Depth Estimation (I8)
|
95% |
1828
14.2 IPS |
|
|
Style Transfer (F32)
|
100% |
1043
1.37 IPS |
|
|
Style Transfer (F16)
|
100% |
1025
1.35 IPS |
|
|
Style Transfer (I8)
|
98% |
2538
3.34 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
359
12.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
354
12.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1209
43.2 IPS |
|
|
Text Classification (F32)
|
100% |
437
628.6 IPS |
|
|
Text Classification (F16)
|
100% |
442
635.4 IPS |
|
|
Text Classification (I8)
|
92% |
684
982.4 IPS |
|
|
Machine Translation (F32)
|
100% |
690
12.7 IPS |
|
|
Machine Translation (F16)
|
100% |
684
12.6 IPS |
|
|
Machine Translation (I8)
|
64% |
740
13.6 IPS |
