samsung SM-X820
Geekbench ML Score
1456
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 27 2024 04:55 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% |
909
170.2 IPS |
|
|
Image Classification (F16)
|
100% |
904
169.1 IPS |
|
|
Image Classification (I8)
|
97% |
1339
250.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1126
18.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1140
19.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1287
21.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
1420
1.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
1349
1.63 IPS |
|
|
Pose Estimation (I8)
|
100% |
6290
7.62 IPS |
|
|
Object Detection (F32)
|
100% |
724
54.0 IPS |
|
|
Object Detection (F16)
|
100% |
722
53.9 IPS |
|
|
Object Detection (I8)
|
61% |
1367
102.0 IPS |
|
|
Face Detection (F32)
|
100% |
1788
21.3 IPS |
|
|
Face Detection (F16)
|
100% |
1782
21.2 IPS |
|
|
Face Detection (I8)
|
86% |
2398
28.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
1551
12.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
1513
11.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
2782
21.6 IPS |
|
|
Style Transfer (F32)
|
100% |
2298
3.02 IPS |
|
|
Style Transfer (F16)
|
100% |
2249
2.96 IPS |
|
|
Style Transfer (I8)
|
98% |
5164
6.79 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1034
36.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1035
37.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2599
92.8 IPS |
|
|
Text Classification (F32)
|
100% |
960
1.38 KIPS |
|
|
Text Classification (F16)
|
100% |
936
1.34 KIPS |
|
|
Text Classification (I8)
|
92% |
725
1.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
1737
32.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1625
29.9 IPS |
|
|
Machine Translation (I8)
|
64% |
738
13.6 IPS |
