samsung SM-X810
Geekbench AI Score
280
Single Precision Score
16158
Half Precision Score
36497
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ShowXTech |
| Upload Date | June 18 2025 04:55 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
161
30.0 IPS |
|
|
Image Classification (HP)
|
100% |
12475
2.32 KIPS |
|
|
Image Classification (Q)
|
97% |
32253
6.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
7471
121.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
20996
341.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
290
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
74162
86.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
293434
343.4 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
11867
941.3 IPS |
|
|
Object Detection (Q)
|
86% |
13345
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
451
5.36 IPS |
|
|
Face Detection (HP)
|
100% |
23849
283.4 IPS |
|
|
Face Detection (Q)
|
97% |
82681
986.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
379
2.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
44610
343.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
81035
758.8 IPS |
|
|
Style Transfer (SP)
|
100% |
681
0.88 IPS |
|
|
Style Transfer (HP)
|
98% |
60996
78.7 IPS |
|
|
Style Transfer (Q)
|
98% |
293957
379.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
184
6.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32703
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82081
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
222
296.2 IPS |
|
|
Text Classification (HP)
|
100% |
2482
3.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5642
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
400
6.88 IPS |
|
|
Machine Translation (HP)
|
100% |
2809
48.4 IPS |
|
|
Machine Translation (Q)
|
55% |
1734
45.4 IPS |
