samsung SM-X130
Geekbench AI Score
294
Single Precision Score
473
Half Precision Score
389
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | andreadandrea |
| Upload Date | November 28 2025 08:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
176
32.7 IPS |
|
|
Image Classification (HP)
|
100% |
307
57.1 IPS |
|
|
Image Classification (Q)
|
97% |
292
54.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
268
4.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
570
9.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
510
8.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
1161
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1836
2.14 IPS |
|
|
Pose Estimation (Q)
|
95% |
1847
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (HP)
|
99% |
357
28.3 IPS |
|
|
Object Detection (Q)
|
83% |
302
24.4 IPS |
|
|
Face Detection (SP)
|
100% |
599
7.12 IPS |
|
|
Face Detection (HP)
|
100% |
1182
14.0 IPS |
|
|
Face Detection (Q)
|
96% |
1091
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
790
6.08 IPS |
|
|
Depth Estimation (HP)
|
98% |
1635
12.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
1202
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2053
2.64 IPS |
|
|
Style Transfer (HP)
|
100% |
3830
4.92 IPS |
|
|
Style Transfer (Q)
|
98% |
3803
4.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
374
13.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
671
24.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
640
23.7 IPS |
|
|
Text Classification (SP)
|
35% |
8
73.1 IPS |
|
|
Text Classification (HP)
|
29% |
5
79.4 IPS |
|
|
Text Classification (Q)
|
33% |
6
77.3 IPS |
|
|
Machine Translation (SP)
|
100% |
197
3.40 IPS |
|
|
Machine Translation (HP)
|
100% |
200
3.44 IPS |
|
|
Machine Translation (Q)
|
43% |
51
2.96 IPS |
