samsung SM-X236B
Geekbench AI Score
654
Single Precision Score
649
Half Precision Score
1539
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 11 2025 07:13 AM |
| Views | 197 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-X236B |
| Model ID | samsung SM-X236B |
| Motherboard | gta11p |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 5.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
421
78.3 IPS |
|
|
Image Classification (HP)
|
100% |
431
80.2 IPS |
|
|
Image Classification (Q)
|
100% |
1261
234.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
370
6.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
1392
22.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1213
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1251
1.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
2968
3.52 IPS |
|
|
Object Detection (SP)
|
100% |
318
25.2 IPS |
|
|
Object Detection (HP)
|
100% |
283
22.4 IPS |
|
|
Object Detection (Q)
|
83% |
985
79.5 IPS |
|
|
Face Detection (SP)
|
100% |
611
7.26 IPS |
|
|
Face Detection (HP)
|
100% |
647
7.69 IPS |
|
|
Face Detection (Q)
|
95% |
2336
27.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1446
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1294
9.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
2628
24.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2895
3.76 IPS |
|
|
Style Transfer (HP)
|
89% |
3015
3.91 IPS |
|
|
Style Transfer (Q)
|
98% |
6413
8.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
716
26.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
533
19.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1448
53.7 IPS |
|
|
Text Classification (SP)
|
100% |
363
484.4 IPS |
|
|
Text Classification (HP)
|
100% |
347
463.6 IPS |
|
|
Text Classification (Q)
|
88% |
694
935.7 IPS |
|
|
Machine Translation (SP)
|
100% |
440
7.58 IPS |
|
|
Machine Translation (HP)
|
100% |
507
8.74 IPS |
|
|
Machine Translation (Q)
|
50% |
368
13.1 IPS |
