samsung SM-X810
Geekbench AI Score
1070
Single Precision Score
942
Half Precision Score
1676
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ShowXTech |
| Upload Date | June 18 2025 01:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-X810 |
| Model ID | samsung SM-X810 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 10.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1035
192.4 IPS |
|
|
Image Classification (HP)
|
100% |
697
129.6 IPS |
|
|
Image Classification (Q)
|
100% |
1632
303.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
694
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1421
23.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2178
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
1280
1.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
2905
3.45 IPS |
|
|
Object Detection (SP)
|
98% |
723
57.5 IPS |
|
|
Object Detection (HP)
|
98% |
721
57.4 IPS |
|
|
Object Detection (Q)
|
83% |
1261
101.8 IPS |
|
|
Face Detection (SP)
|
100% |
1216
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
1205
14.3 IPS |
|
|
Face Detection (Q)
|
95% |
2130
25.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1490
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1498
11.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3012
27.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3531
4.58 IPS |
|
|
Style Transfer (HP)
|
89% |
3492
4.53 IPS |
|
|
Style Transfer (Q)
|
98% |
6461
8.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
887
32.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
777
28.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1820
67.4 IPS |
|
|
Text Classification (SP)
|
100% |
391
521.6 IPS |
|
|
Text Classification (HP)
|
99% |
312
416.3 IPS |
|
|
Text Classification (Q)
|
88% |
669
902.5 IPS |
|
|
Machine Translation (SP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (Q)
|
50% |
410
14.6 IPS |
