samsung SM-X820
Geekbench ML Score
1443
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 27 2024 05:01 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% |
890
166.5 IPS |
|
|
Image Classification (F16)
|
100% |
907
169.7 IPS |
|
|
Image Classification (I8)
|
97% |
1329
248.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1126
18.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1073
17.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1219
20.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
1386
1.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
1341
1.62 IPS |
|
|
Pose Estimation (I8)
|
100% |
6361
7.70 IPS |
|
|
Object Detection (F32)
|
100% |
754
56.3 IPS |
|
|
Object Detection (F16)
|
100% |
712
53.2 IPS |
|
|
Object Detection (I8)
|
61% |
1455
108.6 IPS |
|
|
Face Detection (F32)
|
100% |
1885
22.4 IPS |
|
|
Face Detection (F16)
|
100% |
1791
21.3 IPS |
|
|
Face Detection (I8)
|
86% |
2427
28.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
1537
11.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
1486
11.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
2833
22.0 IPS |
|
|
Style Transfer (F32)
|
100% |
2287
3.01 IPS |
|
|
Style Transfer (F16)
|
100% |
2217
2.92 IPS |
|
|
Style Transfer (I8)
|
98% |
5022
6.61 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
996
35.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1006
35.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2706
96.6 IPS |
|
|
Text Classification (F32)
|
100% |
953
1.37 KIPS |
|
|
Text Classification (F16)
|
100% |
966
1.39 KIPS |
|
|
Text Classification (I8)
|
92% |
638
917.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1681
30.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1588
29.2 IPS |
|
|
Machine Translation (I8)
|
64% |
719
13.2 IPS |
