samsung SM-X110
Geekbench AI Score
479
Single Precision Score
473
Half Precision Score
948
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 11:05 PM |
| Views | 1 |
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 | 3.65 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
226
42.0 IPS |
|
|
Image Classification (HP)
|
100% |
221
41.1 IPS |
|
|
Image Classification (Q)
|
100% |
654
121.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
273
4.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
270
4.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
725
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
983
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
971
1.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
1595
1.89 IPS |
|
|
Object Detection (SP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (HP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (Q)
|
83% |
642
51.9 IPS |
|
|
Face Detection (SP)
|
100% |
698
8.29 IPS |
|
|
Face Detection (HP)
|
100% |
689
8.18 IPS |
|
|
Face Detection (Q)
|
95% |
1481
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
770
5.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
818
6.31 IPS |
|
|
Depth Estimation (Q)
|
64% |
1463
13.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1708
2.22 IPS |
|
|
Style Transfer (HP)
|
89% |
1717
2.23 IPS |
|
|
Style Transfer (Q)
|
98% |
3648
4.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
460
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
895
33.2 IPS |
|
|
Text Classification (SP)
|
100% |
283
377.6 IPS |
|
|
Text Classification (HP)
|
100% |
245
326.7 IPS |
|
|
Text Classification (Q)
|
88% |
489
660.1 IPS |
|
|
Machine Translation (SP)
|
100% |
434
7.48 IPS |
|
|
Machine Translation (HP)
|
100% |
447
7.71 IPS |
|
|
Machine Translation (Q)
|
50% |
350
12.4 IPS |
