samsung SM-X210
Geekbench AI Score
189
Single Precision Score
190
Half Precision Score
463
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 30 2025 11:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
112
20.8 IPS |
|
|
Image Classification (HP)
|
100% |
112
20.9 IPS |
|
|
Image Classification (Q)
|
99% |
307
57.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
153
2.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
153
2.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
343
5.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
198
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
198
0.23 IPS |
|
|
Pose Estimation (Q)
|
98% |
800
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
111
8.78 IPS |
|
|
Object Detection (HP)
|
100% |
112
8.88 IPS |
|
|
Object Detection (Q)
|
87% |
327
26.2 IPS |
|
|
Face Detection (SP)
|
100% |
284
3.38 IPS |
|
|
Face Detection (HP)
|
100% |
291
3.46 IPS |
|
|
Face Detection (Q)
|
97% |
648
7.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
244
1.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
244
1.88 IPS |
|
|
Depth Estimation (Q)
|
64% |
616
5.59 IPS |
|
|
Style Transfer (SP)
|
100% |
425
0.55 IPS |
|
|
Style Transfer (HP)
|
100% |
431
0.55 IPS |
|
|
Style Transfer (Q)
|
98% |
1238
1.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
124
4.59 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
122
4.51 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
426
15.8 IPS |
|
|
Text Classification (SP)
|
100% |
161
214.4 IPS |
|
|
Text Classification (HP)
|
100% |
161
215.1 IPS |
|
|
Text Classification (Q)
|
91% |
311
417.5 IPS |
|
|
Machine Translation (SP)
|
100% |
274
4.72 IPS |
|
|
Machine Translation (HP)
|
100% |
273
4.70 IPS |
|
|
Machine Translation (Q)
|
57% |
253
6.19 IPS |
