samsung SM-X810
Geekbench AI Score
995
Single Precision Score
921
Half Precision Score
1975
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | maquiz |
| Upload Date | April 12 2025 10:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 10.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
765
142.3 IPS |
|
|
Image Classification (HP)
|
100% |
691
128.6 IPS |
|
|
Image Classification (Q)
|
100% |
1369
254.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
669
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
668
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1541
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1792
2.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1344
1.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
4635
5.50 IPS |
|
|
Object Detection (SP)
|
98% |
725
57.7 IPS |
|
|
Object Detection (HP)
|
98% |
614
48.8 IPS |
|
|
Object Detection (Q)
|
83% |
1459
117.8 IPS |
|
|
Face Detection (SP)
|
100% |
1199
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
1205
14.3 IPS |
|
|
Face Detection (Q)
|
95% |
2760
32.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1490
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1117
8.63 IPS |
|
|
Depth Estimation (Q)
|
64% |
3550
32.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2551
3.31 IPS |
|
|
Style Transfer (HP)
|
89% |
3698
4.80 IPS |
|
|
Style Transfer (Q)
|
98% |
9575
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
832
30.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
789
29.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1554
57.6 IPS |
|
|
Text Classification (SP)
|
100% |
464
619.3 IPS |
|
|
Text Classification (HP)
|
99% |
332
443.5 IPS |
|
|
Text Classification (Q)
|
88% |
817
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
815
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
886
15.3 IPS |
|
|
Machine Translation (Q)
|
50% |
532
18.9 IPS |
