samsung SM-X820
Geekbench AI Score
1647
Single Precision Score
2335
Half Precision Score
2023
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 16 2025 04:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
674
125.4 IPS |
|
|
Image Classification (HP)
|
100% |
1093
203.2 IPS |
|
|
Image Classification (Q)
|
97% |
949
177.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2074
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3069
49.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3153
51.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11661
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18912
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16882
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
870
69.0 IPS |
|
|
Object Detection (HP)
|
99% |
1045
82.9 IPS |
|
|
Object Detection (Q)
|
83% |
1272
102.7 IPS |
|
|
Face Detection (SP)
|
100% |
3542
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
5700
67.7 IPS |
|
|
Face Detection (Q)
|
96% |
5702
68.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5919
45.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8764
67.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
7707
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15366
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33869
43.5 IPS |
|
|
Style Transfer (Q)
|
98% |
32732
42.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2155
79.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4076
150.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3749
138.9 IPS |
|
|
Text Classification (SP)
|
35% |
27
245.2 IPS |
|
|
Text Classification (HP)
|
29% |
21
354.2 IPS |
|
|
Text Classification (Q)
|
32% |
26
341.7 IPS |
|
|
Machine Translation (SP)
|
100% |
555
9.57 IPS |
|
|
Machine Translation (HP)
|
100% |
503
8.66 IPS |
|
|
Machine Translation (Q)
|
43% |
128
7.42 IPS |
