samsung SM-X820
Geekbench AI Score
2070
Single Precision Score
2053
Half Precision Score
2906
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 07 2026 08:19 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1809
336.4 IPS |
|
|
Image Classification (HP)
|
100% |
1835
341.2 IPS |
|
|
Image Classification (Q)
|
100% |
2626
488.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2065
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2802
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3166
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2665
3.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
5427
6.44 IPS |
|
|
Object Detection (SP)
|
98% |
1266
100.8 IPS |
|
|
Object Detection (HP)
|
98% |
1405
111.8 IPS |
|
|
Object Detection (Q)
|
83% |
1842
148.8 IPS |
|
|
Face Detection (SP)
|
100% |
2899
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
2877
34.2 IPS |
|
|
Face Detection (Q)
|
95% |
4424
52.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3162
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3179
24.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4825
44.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6324
8.21 IPS |
|
|
Style Transfer (HP)
|
89% |
6340
8.23 IPS |
|
|
Style Transfer (Q)
|
98% |
11907
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1421
52.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1420
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3011
111.6 IPS |
|
|
Text Classification (SP)
|
100% |
661
882.5 IPS |
|
|
Text Classification (HP)
|
99% |
650
867.6 IPS |
|
|
Text Classification (Q)
|
88% |
1147
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1776
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1749
30.1 IPS |
|
|
Machine Translation (Q)
|
50% |
666
23.7 IPS |
