samsung SM-X210
Geekbench AI Score
312
Single Precision Score
485
Half Precision Score
447
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 02:16 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
254
47.2 IPS |
|
|
Image Classification (HP)
|
100% |
338
62.9 IPS |
|
|
Image Classification (Q)
|
99% |
313
58.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
333
5.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
506
8.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
503
8.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
1295
1.51 IPS |
|
|
Pose Estimation (HP)
|
99% |
2153
2.51 IPS |
|
|
Pose Estimation (Q)
|
97% |
2124
2.49 IPS |
|
|
Object Detection (SP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (HP)
|
99% |
269
21.3 IPS |
|
|
Object Detection (Q)
|
85% |
258
20.8 IPS |
|
|
Face Detection (SP)
|
100% |
629
7.47 IPS |
|
|
Face Detection (HP)
|
100% |
995
11.8 IPS |
|
|
Face Detection (Q)
|
97% |
885
10.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
779
6.00 IPS |
|
|
Depth Estimation (HP)
|
98% |
1296
10.0 IPS |
|
|
Depth Estimation (Q)
|
65% |
1079
9.69 IPS |
|
|
Style Transfer (SP)
|
100% |
1737
2.23 IPS |
|
|
Style Transfer (HP)
|
100% |
3225
4.15 IPS |
|
|
Style Transfer (Q)
|
98% |
3091
3.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
309
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
488
18.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
481
17.8 IPS |
|
|
Text Classification (SP)
|
35% |
12
121.1 IPS |
|
|
Text Classification (HP)
|
35% |
20
182.4 IPS |
|
|
Text Classification (Q)
|
35% |
20
178.3 IPS |
|
|
Machine Translation (SP)
|
100% |
139
2.39 IPS |
|
|
Machine Translation (HP)
|
97% |
182
3.14 IPS |
|
|
Machine Translation (Q)
|
64% |
131
2.69 IPS |
