samsung SM-X130
Geekbench AI Score
461
Single Precision Score
459
Half Precision Score
911
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | andreadandrea |
| Upload Date | November 28 2025 08:00 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-X130 |
| Model ID | samsung SM-X130 |
| Motherboard | gta11wifi |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
226
42.1 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.3 IPS |
|
|
Image Classification (Q)
|
100% |
659
122.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
269
4.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
269
4.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
721
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
974
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
945
1.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
1550
1.84 IPS |
|
|
Object Detection (SP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (HP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (Q)
|
83% |
594
48.0 IPS |
|
|
Face Detection (SP)
|
100% |
651
7.73 IPS |
|
|
Face Detection (HP)
|
100% |
648
7.70 IPS |
|
|
Face Detection (Q)
|
95% |
1376
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
717
5.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
732
5.64 IPS |
|
|
Depth Estimation (Q)
|
64% |
1382
12.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1618
2.10 IPS |
|
|
Style Transfer (HP)
|
89% |
1635
2.12 IPS |
|
|
Style Transfer (Q)
|
98% |
3429
4.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
452
16.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
439
16.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
866
32.1 IPS |
|
|
Text Classification (SP)
|
100% |
270
361.0 IPS |
|
|
Text Classification (HP)
|
100% |
278
371.3 IPS |
|
|
Text Classification (Q)
|
88% |
492
663.6 IPS |
|
|
Machine Translation (SP)
|
100% |
426
7.33 IPS |
|
|
Machine Translation (HP)
|
100% |
414
7.13 IPS |
|
|
Machine Translation (Q)
|
50% |
326
11.6 IPS |
