samsung SM-X810
Geekbench ML Score
1046
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 08 2024 10:56 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
540
101.1 IPS |
|
|
Image Classification (F16)
|
100% |
519
97.1 IPS |
|
|
Image Classification (I8)
|
97% |
866
162.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
656
11.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
682
11.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
809
13.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
1254
1.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
1203
1.46 IPS |
|
|
Pose Estimation (I8)
|
100% |
5096
6.17 IPS |
|
|
Object Detection (F32)
|
100% |
536
40.0 IPS |
|
|
Object Detection (F16)
|
100% |
532
39.7 IPS |
|
|
Object Detection (I8)
|
61% |
1144
85.4 IPS |
|
|
Face Detection (F32)
|
100% |
1145
13.6 IPS |
|
|
Face Detection (F16)
|
100% |
1098
13.1 IPS |
|
|
Face Detection (I8)
|
86% |
1956
23.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
1207
9.36 IPS |
|
|
Depth Estimation (F16)
|
100% |
1057
8.20 IPS |
|
|
Depth Estimation (I8)
|
95% |
2164
16.8 IPS |
|
|
Style Transfer (F32)
|
100% |
2158
2.84 IPS |
|
|
Style Transfer (F16)
|
100% |
2242
2.95 IPS |
|
|
Style Transfer (I8)
|
98% |
4393
5.78 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
758
27.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
755
27.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2194
78.4 IPS |
|
|
Text Classification (F32)
|
100% |
582
835.8 IPS |
|
|
Text Classification (F16)
|
100% |
582
836.9 IPS |
|
|
Text Classification (I8)
|
92% |
459
659.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1184
21.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1173
21.6 IPS |
|
|
Machine Translation (I8)
|
64% |
459
8.45 IPS |
