samsung SM-X820
Geekbench AI Score
2074
Single Precision Score
2058
Half Precision Score
2884
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 03:32 PM |
| Views | 3 |
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% |
1718
319.5 IPS |
|
|
Image Classification (HP)
|
100% |
1827
339.8 IPS |
|
|
Image Classification (Q)
|
100% |
2647
492.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2082
33.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2769
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3174
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2725
3.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
5495
6.52 IPS |
|
|
Object Detection (SP)
|
98% |
1396
111.1 IPS |
|
|
Object Detection (HP)
|
98% |
1396
111.1 IPS |
|
|
Object Detection (Q)
|
83% |
1856
149.9 IPS |
|
|
Face Detection (SP)
|
100% |
2953
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (Q)
|
95% |
4480
53.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3052
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3209
24.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4779
43.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6719
8.72 IPS |
|
|
Style Transfer (HP)
|
89% |
6533
8.48 IPS |
|
|
Style Transfer (Q)
|
98% |
10935
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1339
49.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1336
49.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2727
101.0 IPS |
|
|
Text Classification (SP)
|
100% |
649
866.3 IPS |
|
|
Text Classification (HP)
|
99% |
661
882.6 IPS |
|
|
Text Classification (Q)
|
88% |
1156
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1730
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1710
29.5 IPS |
|
|
Machine Translation (Q)
|
50% |
722
25.6 IPS |
