samsung SM-X810
Geekbench AI Score
789
Single Precision Score
1108
Half Precision Score
1091
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | maquiz |
| Upload Date | April 12 2025 10:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
408
76.0 IPS |
|
|
Image Classification (HP)
|
100% |
858
159.5 IPS |
|
|
Image Classification (Q)
|
96% |
874
163.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1112
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1057
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
978
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
1437
1.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
1430
1.68 IPS |
|
|
Object Detection (SP)
|
100% |
496
39.3 IPS |
|
|
Object Detection (HP)
|
100% |
644
51.0 IPS |
|
|
Object Detection (Q)
|
87% |
794
63.7 IPS |
|
|
Face Detection (SP)
|
100% |
1784
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
2359
28.0 IPS |
|
|
Face Detection (Q)
|
97% |
2521
30.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1515
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2901
22.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2370
22.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3866
4.97 IPS |
|
|
Style Transfer (HP)
|
100% |
8690
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8636
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
457
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
370
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
365
13.5 IPS |
|
|
Text Classification (SP)
|
100% |
223
298.0 IPS |
|
|
Text Classification (HP)
|
100% |
224
298.4 IPS |
|
|
Text Classification (Q)
|
91% |
373
501.2 IPS |
|
|
Machine Translation (SP)
|
100% |
399
6.88 IPS |
|
|
Machine Translation (HP)
|
100% |
401
6.91 IPS |
|
|
Machine Translation (Q)
|
57% |
326
7.98 IPS |
