samsung SM-X820
Geekbench ML Score
3407
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 27 2024 05:21 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% |
1160
217.1 IPS |
|
|
Image Classification (F16)
|
100% |
4498
841.6 IPS |
|
|
Image Classification (I8)
|
97% |
9169
1.72 KIPS |
|
|
Image Segmentation (F32)
|
100% |
662
11.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
4071
68.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1801
30.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
8855
10.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
17645
21.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
67244
81.4 IPS |
|
|
Object Detection (F32)
|
100% |
695
51.9 IPS |
|
|
Object Detection (F16)
|
100% |
2843
212.2 IPS |
|
|
Object Detection (I8)
|
64% |
3293
245.8 IPS |
|
|
Face Detection (F32)
|
100% |
3437
40.9 IPS |
|
|
Face Detection (F16)
|
97% |
12230
145.4 IPS |
|
|
Face Detection (I8)
|
86% |
10457
124.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
941
7.30 IPS |
|
|
Depth Estimation (F16)
|
100% |
19250
149.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
28981
224.7 IPS |
|
|
Style Transfer (F32)
|
100% |
2553
3.36 IPS |
|
|
Style Transfer (F16)
|
100% |
2404
3.16 IPS |
|
|
Style Transfer (I8)
|
31% |
4588
6.03 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2074
74.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11159
398.5 IPS |
|
|
Image Super-Resolution (I8)
|
33% |
28329
1.01 KIPS |
|
|
Text Classification (F32)
|
100% |
124
178.0 IPS |
|
|
Text Classification (F16)
|
100% |
1934
2.78 KIPS |
|
|
Text Classification (I8)
|
76% |
1214
1.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
394
7.25 IPS |
|
|
Machine Translation (F16)
|
100% |
2166
39.9 IPS |
|
|
Machine Translation (I8)
|
76% |
560
10.3 IPS |
