samsung SM-X810
Geekbench ML Score
1056
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | February 23 2024 01:06 AM |
| Views | 1 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
536
100.3 IPS |
|
|
Image Classification (F16)
|
100% |
520
97.3 IPS |
|
|
Image Classification (I8)
|
97% |
878
164.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
663
11.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
664
11.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
759
12.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
1260
1.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
1246
1.51 IPS |
|
|
Pose Estimation (I8)
|
100% |
5127
6.21 IPS |
|
|
Object Detection (F32)
|
100% |
555
41.5 IPS |
|
|
Object Detection (F16)
|
100% |
555
41.4 IPS |
|
|
Object Detection (I8)
|
61% |
1097
81.9 IPS |
|
|
Face Detection (F32)
|
100% |
1185
14.1 IPS |
|
|
Face Detection (F16)
|
100% |
1113
13.2 IPS |
|
|
Face Detection (I8)
|
86% |
1891
22.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
1196
9.27 IPS |
|
|
Depth Estimation (F16)
|
100% |
1190
9.23 IPS |
|
|
Depth Estimation (I8)
|
95% |
2174
16.9 IPS |
|
|
Style Transfer (F32)
|
100% |
2172
2.86 IPS |
|
|
Style Transfer (F16)
|
100% |
2244
2.95 IPS |
|
|
Style Transfer (I8)
|
98% |
4724
6.21 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
791
28.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
799
28.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2153
76.9 IPS |
|
|
Text Classification (F32)
|
100% |
623
895.9 IPS |
|
|
Text Classification (F16)
|
100% |
600
862.9 IPS |
|
|
Text Classification (I8)
|
92% |
405
581.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1189
21.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1184
21.8 IPS |
|
|
Machine Translation (I8)
|
64% |
453
8.34 IPS |
