samsung SM-X210
Geekbench AI Score
368
Single Precision Score
599
Half Precision Score
550
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 07 2025 06:23 PM |
| Views | 7 |
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% |
255
47.4 IPS |
|
|
Image Classification (HP)
|
100% |
413
76.7 IPS |
|
|
Image Classification (Q)
|
99% |
390
72.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
374
6.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
603
9.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
558
9.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
1416
1.65 IPS |
|
|
Pose Estimation (HP)
|
99% |
2290
2.67 IPS |
|
|
Pose Estimation (Q)
|
97% |
2255
2.64 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (HP)
|
99% |
352
27.9 IPS |
|
|
Object Detection (Q)
|
85% |
344
27.6 IPS |
|
|
Face Detection (SP)
|
100% |
778
9.25 IPS |
|
|
Face Detection (HP)
|
100% |
1337
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
1168
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
868
6.69 IPS |
|
|
Depth Estimation (HP)
|
98% |
1447
11.2 IPS |
|
|
Depth Estimation (Q)
|
65% |
1214
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1900
2.44 IPS |
|
|
Style Transfer (HP)
|
100% |
3613
4.65 IPS |
|
|
Style Transfer (Q)
|
98% |
3351
4.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
360
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
560
20.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
547
20.3 IPS |
|
|
Text Classification (SP)
|
35% |
14
139.4 IPS |
|
|
Text Classification (HP)
|
35% |
24
217.5 IPS |
|
|
Text Classification (Q)
|
35% |
23
213.3 IPS |
|
|
Machine Translation (SP)
|
100% |
232
4.00 IPS |
|
|
Machine Translation (HP)
|
97% |
320
5.53 IPS |
|
|
Machine Translation (Q)
|
64% |
251
5.16 IPS |
