samsung SM-X820
Geekbench ML Score
1438
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 27 2024 04:58 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X820 |
| Model ID | samsung SM-X820 |
| Motherboard | gts10pwifi |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 11.26 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
881
164.8 IPS |
|
|
Image Classification (F16)
|
100% |
911
170.5 IPS |
|
|
Image Classification (I8)
|
97% |
1303
243.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1098
18.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1102
18.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1286
21.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
1418
1.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
1301
1.58 IPS |
|
|
Pose Estimation (I8)
|
100% |
6222
7.53 IPS |
|
|
Object Detection (F32)
|
100% |
718
53.6 IPS |
|
|
Object Detection (F16)
|
100% |
737
55.0 IPS |
|
|
Object Detection (I8)
|
61% |
1306
97.5 IPS |
|
|
Face Detection (F32)
|
100% |
1815
21.6 IPS |
|
|
Face Detection (F16)
|
100% |
1858
22.1 IPS |
|
|
Face Detection (I8)
|
86% |
2414
28.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
1504
11.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
1462
11.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
2856
22.1 IPS |
|
|
Style Transfer (F32)
|
100% |
2283
3.00 IPS |
|
|
Style Transfer (F16)
|
100% |
2220
2.92 IPS |
|
|
Style Transfer (I8)
|
98% |
4961
6.53 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1014
36.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
999
35.7 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2827
101.0 IPS |
|
|
Text Classification (F32)
|
100% |
967
1.39 KIPS |
|
|
Text Classification (F16)
|
100% |
949
1.36 KIPS |
|
|
Text Classification (I8)
|
92% |
651
936.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1644
30.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1610
29.6 IPS |
|
|
Machine Translation (I8)
|
64% |
728
13.4 IPS |
