samsung SM-X210
Geekbench AI Score
363
Single Precision Score
556
Half Precision Score
445
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | December 13 2025 11:41 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-X210 |
| Model ID | samsung SM-X210 |
| Motherboard | blair |
| Governor | walt |
| 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 | 7.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
254
47.2 IPS |
|
|
Image Classification (HP)
|
100% |
404
75.2 IPS |
|
|
Image Classification (Q)
|
100% |
354
65.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
368
5.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
515
8.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
517
8.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
1451
1.69 IPS |
|
|
Pose Estimation (HP)
|
99% |
2276
2.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
2223
2.60 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
99% |
289
22.9 IPS |
|
|
Object Detection (Q)
|
87% |
296
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
722
8.57 IPS |
|
|
Face Detection (HP)
|
100% |
1229
14.6 IPS |
|
|
Face Detection (Q)
|
97% |
1026
12.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
865
6.66 IPS |
|
|
Depth Estimation (HP)
|
98% |
1395
10.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
1068
10.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1861
2.39 IPS |
|
|
Style Transfer (HP)
|
100% |
3357
4.32 IPS |
|
|
Style Transfer (Q)
|
98% |
3183
4.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
521
19.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
511
18.9 IPS |
|
|
Text Classification (SP)
|
35% |
14
140.7 IPS |
|
|
Text Classification (HP)
|
35% |
23
213.5 IPS |
|
|
Text Classification (Q)
|
33% |
19
224.1 IPS |
|
|
Machine Translation (SP)
|
100% |
270
4.66 IPS |
|
|
Machine Translation (HP)
|
97% |
304
5.26 IPS |
|
|
Machine Translation (Q)
|
43% |
76
4.32 IPS |
