samsung SM-X820
Geekbench ML Score
3366
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 27 2024 05:14 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 | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1165
217.9 IPS |
|
|
Image Classification (F16)
|
100% |
4420
827.0 IPS |
|
|
Image Classification (I8)
|
97% |
9109
1.70 KIPS |
|
|
Image Segmentation (F32)
|
100% |
653
10.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
4027
67.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1800
30.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
8689
10.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
17656
21.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
66112
80.1 IPS |
|
|
Object Detection (F32)
|
100% |
698
52.1 IPS |
|
|
Object Detection (F16)
|
100% |
2835
211.7 IPS |
|
|
Object Detection (I8)
|
64% |
3391
253.2 IPS |
|
|
Face Detection (F32)
|
100% |
3508
41.7 IPS |
|
|
Face Detection (F16)
|
97% |
12071
143.5 IPS |
|
|
Face Detection (I8)
|
86% |
10556
125.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
953
7.39 IPS |
|
|
Depth Estimation (F16)
|
100% |
19260
149.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
27527
213.5 IPS |
|
|
Style Transfer (F32)
|
100% |
2538
3.34 IPS |
|
|
Style Transfer (F16)
|
100% |
2413
3.17 IPS |
|
|
Style Transfer (I8)
|
31% |
4590
6.04 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2168
77.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11263
402.2 IPS |
|
|
Image Super-Resolution (I8)
|
33% |
32097
1.15 KIPS |
|
|
Text Classification (F32)
|
100% |
123
176.7 IPS |
|
|
Text Classification (F16)
|
100% |
1791
2.57 KIPS |
|
|
Text Classification (I8)
|
76% |
858
1.23 KIPS |
|
|
Machine Translation (F32)
|
100% |
388
7.15 IPS |
|
|
Machine Translation (F16)
|
100% |
2128
39.2 IPS |
|
|
Machine Translation (I8)
|
76% |
559
10.3 IPS |
