samsung SM-X810
Geekbench AI Score
845
Single Precision Score
1056
Half Precision Score
1115
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ShowXTech |
| Upload Date | June 18 2025 01:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
658
122.3 IPS |
|
|
Image Classification (HP)
|
100% |
855
159.1 IPS |
|
|
Image Classification (Q)
|
96% |
807
150.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1103
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1062
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
996
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1440
1.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
1430
1.68 IPS |
|
|
Object Detection (SP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (HP)
|
100% |
640
50.8 IPS |
|
|
Object Detection (Q)
|
87% |
843
67.7 IPS |
|
|
Face Detection (SP)
|
100% |
2191
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
2369
28.1 IPS |
|
|
Face Detection (Q)
|
97% |
3098
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1509
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2875
22.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2384
22.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3866
4.97 IPS |
|
|
Style Transfer (HP)
|
100% |
8672
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
8626
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
457
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
361
13.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
370
13.7 IPS |
|
|
Text Classification (SP)
|
100% |
224
298.9 IPS |
|
|
Text Classification (HP)
|
100% |
224
298.8 IPS |
|
|
Text Classification (Q)
|
91% |
373
500.8 IPS |
|
|
Machine Translation (SP)
|
100% |
397
6.84 IPS |
|
|
Machine Translation (HP)
|
100% |
400
6.90 IPS |
|
|
Machine Translation (Q)
|
57% |
327
7.98 IPS |
