samsung SM-X510
Geekbench AI Score
418
Single Precision Score
662
Half Precision Score
595
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 24 2026 12:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-X510 |
| Model ID | samsung SM-X510 |
| Motherboard | s5e8835 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
326
60.6 IPS |
|
|
Image Classification (HP)
|
100% |
656
122.0 IPS |
|
|
Image Classification (Q)
|
97% |
344
64.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
523
8.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
926
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
902
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2228
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
4123
4.81 IPS |
|
|
Pose Estimation (Q)
|
95% |
4316
5.06 IPS |
|
|
Object Detection (SP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (HP)
|
99% |
383
30.3 IPS |
|
|
Object Detection (Q)
|
83% |
531
42.9 IPS |
|
|
Face Detection (SP)
|
100% |
418
4.97 IPS |
|
|
Face Detection (HP)
|
100% |
561
6.67 IPS |
|
|
Face Detection (Q)
|
96% |
723
8.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
766
5.90 IPS |
|
|
Depth Estimation (HP)
|
98% |
1866
14.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
2054
19.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2684
3.45 IPS |
|
|
Style Transfer (HP)
|
100% |
5047
6.49 IPS |
|
|
Style Transfer (Q)
|
98% |
4709
6.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
428
15.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1301
48.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1279
47.4 IPS |
|
|
Text Classification (SP)
|
35% |
18
161.3 IPS |
|
|
Text Classification (HP)
|
29% |
8
138.1 IPS |
|
|
Text Classification (Q)
|
29% |
10
170.5 IPS |
|
|
Machine Translation (SP)
|
100% |
260
4.47 IPS |
|
|
Machine Translation (HP)
|
100% |
311
5.36 IPS |
|
|
Machine Translation (Q)
|
43% |
88
5.13 IPS |
