samsung SM-X210
Geekbench AI Score
194
Single Precision Score
194
Half Precision Score
462
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 20 2025 02:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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
20.9 IPS |
|
|
Image Classification (HP)
|
100% |
113
21.0 IPS |
|
|
Image Classification (Q)
|
99% |
305
56.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
153
2.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
338
5.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
205
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
206
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
788
0.92 IPS |
|
|
Object Detection (SP)
|
100% |
113
8.95 IPS |
|
|
Object Detection (HP)
|
100% |
113
8.97 IPS |
|
|
Object Detection (Q)
|
87% |
325
26.1 IPS |
|
|
Face Detection (SP)
|
100% |
294
3.49 IPS |
|
|
Face Detection (HP)
|
100% |
296
3.52 IPS |
|
|
Face Detection (Q)
|
97% |
654
7.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
255
1.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
256
1.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
631
5.72 IPS |
|
|
Style Transfer (SP)
|
100% |
441
0.57 IPS |
|
|
Style Transfer (HP)
|
100% |
441
0.57 IPS |
|
|
Style Transfer (Q)
|
98% |
1240
1.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
127
4.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
127
4.68 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
437
16.2 IPS |
|
|
Text Classification (SP)
|
100% |
163
217.4 IPS |
|
|
Text Classification (HP)
|
100% |
163
217.4 IPS |
|
|
Text Classification (Q)
|
91% |
311
417.5 IPS |
|
|
Machine Translation (SP)
|
100% |
279
4.81 IPS |
|
|
Machine Translation (HP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (Q)
|
57% |
243
5.94 IPS |
