samsung SM-X218U
Geekbench AI Score
192
Single Precision Score
294
Half Precision Score
309
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 12:52 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X218U |
| Model ID | samsung SM-X218U |
| Motherboard | holi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 3.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
108
20.2 IPS |
|
|
Image Classification (HP)
|
100% |
178
33.0 IPS |
|
|
Image Classification (Q)
|
97% |
192
35.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
156
2.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
287
4.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
283
4.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
215
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
278
0.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
278
0.33 IPS |
|
|
Object Detection (SP)
|
100% |
97
7.71 IPS |
|
|
Object Detection (HP)
|
100% |
147
11.7 IPS |
|
|
Object Detection (Q)
|
89% |
165
13.2 IPS |
|
|
Face Detection (SP)
|
100% |
267
3.18 IPS |
|
|
Face Detection (HP)
|
100% |
494
5.87 IPS |
|
|
Face Detection (Q)
|
97% |
511
6.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
254
1.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
432
3.34 IPS |
|
|
Depth Estimation (Q)
|
62% |
352
3.33 IPS |
|
|
Style Transfer (SP)
|
100% |
497
0.64 IPS |
|
|
Style Transfer (HP)
|
100% |
1075
1.38 IPS |
|
|
Style Transfer (Q)
|
98% |
1070
1.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
130
4.79 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
222
8.21 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
220
8.16 IPS |
|
|
Text Classification (SP)
|
100% |
163
217.7 IPS |
|
|
Text Classification (HP)
|
100% |
164
218.9 IPS |
|
|
Text Classification (Q)
|
91% |
312
419.9 IPS |
|
|
Machine Translation (SP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.85 IPS |
|
|
Machine Translation (Q)
|
57% |
246
6.01 IPS |
