samsung SM-X210
Geekbench AI Score
190
Single Precision Score
292
Half Precision Score
306
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 07:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X210 |
| Model ID | samsung SM-X210 |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
108
20.1 IPS |
|
|
Image Classification (HP)
|
100% |
178
33.1 IPS |
|
|
Image Classification (Q)
|
97% |
191
35.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
155
2.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
285
4.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
280
4.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
216
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
285
0.33 IPS |
|
|
Pose Estimation (Q)
|
95% |
284
0.33 IPS |
|
|
Object Detection (SP)
|
100% |
97
7.66 IPS |
|
|
Object Detection (HP)
|
100% |
146
11.6 IPS |
|
|
Object Detection (Q)
|
89% |
163
13.1 IPS |
|
|
Face Detection (SP)
|
100% |
264
3.14 IPS |
|
|
Face Detection (HP)
|
100% |
489
5.81 IPS |
|
|
Face Detection (Q)
|
97% |
505
6.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
248
1.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
423
3.26 IPS |
|
|
Depth Estimation (Q)
|
62% |
348
3.30 IPS |
|
|
Style Transfer (SP)
|
100% |
490
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
1049
1.35 IPS |
|
|
Style Transfer (Q)
|
98% |
1044
1.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
126
4.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
219
8.09 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
217
8.03 IPS |
|
|
Text Classification (SP)
|
100% |
162
216.6 IPS |
|
|
Text Classification (HP)
|
100% |
162
216.9 IPS |
|
|
Text Classification (Q)
|
91% |
310
417.3 IPS |
|
|
Machine Translation (SP)
|
100% |
280
4.82 IPS |
|
|
Machine Translation (HP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (Q)
|
57% |
243
5.95 IPS |
