samsung SM-X110
Geekbench AI Score
483
Single Precision Score
485
Half Precision Score
943
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 28 2025 01:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X110 |
| Model ID | samsung SM-X110 |
| Motherboard | gta9wifi |
| 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 | 7.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
227
42.2 IPS |
|
|
Image Classification (HP)
|
100% |
225
41.9 IPS |
|
|
Image Classification (Q)
|
100% |
650
120.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
284
4.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
708
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1004
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1003
1.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
1614
1.91 IPS |
|
|
Object Detection (SP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (Q)
|
83% |
631
51.0 IPS |
|
|
Face Detection (SP)
|
100% |
711
8.45 IPS |
|
|
Face Detection (HP)
|
100% |
709
8.43 IPS |
|
|
Face Detection (Q)
|
95% |
1468
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
814
6.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
780
6.01 IPS |
|
|
Depth Estimation (Q)
|
64% |
1479
13.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1751
2.27 IPS |
|
|
Style Transfer (HP)
|
89% |
1757
2.28 IPS |
|
|
Style Transfer (Q)
|
98% |
3699
4.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
387
14.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
452
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
891
33.0 IPS |
|
|
Text Classification (SP)
|
100% |
280
373.6 IPS |
|
|
Text Classification (HP)
|
100% |
277
369.2 IPS |
|
|
Text Classification (Q)
|
88% |
486
655.6 IPS |
|
|
Machine Translation (SP)
|
100% |
463
7.98 IPS |
|
|
Machine Translation (HP)
|
100% |
454
7.82 IPS |
|
|
Machine Translation (Q)
|
50% |
342
12.2 IPS |
