samsung SM-X238U1
Geekbench AI Score
535
Single Precision Score
779
Half Precision Score
626
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Martythebrit |
| Upload Date | February 15 2026 11:32 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-X238U1 |
| Model ID | samsung SM-X238U1 |
| 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 | 5.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
291
54.1 IPS |
|
|
Image Classification (HP)
|
100% |
482
89.6 IPS |
|
|
Image Classification (Q)
|
97% |
462
86.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
535
8.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
929
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
896
14.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2084
2.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
4017
4.69 IPS |
|
|
Pose Estimation (Q)
|
95% |
3480
4.08 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
99% |
380
30.1 IPS |
|
|
Object Detection (Q)
|
83% |
361
29.2 IPS |
|
|
Face Detection (SP)
|
100% |
1194
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
1606
19.1 IPS |
|
|
Face Detection (Q)
|
96% |
1481
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1352
10.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2050
15.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
1635
15.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3619
4.65 IPS |
|
|
Style Transfer (HP)
|
100% |
6300
8.10 IPS |
|
|
Style Transfer (Q)
|
98% |
6365
8.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
662
24.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1089
40.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1101
40.8 IPS |
|
|
Text Classification (SP)
|
35% |
18
160.1 IPS |
|
|
Text Classification (HP)
|
29% |
10
164.9 IPS |
|
|
Text Classification (Q)
|
29% |
9
151.0 IPS |
|
|
Machine Translation (SP)
|
100% |
372
6.42 IPS |
|
|
Machine Translation (HP)
|
100% |
534
9.19 IPS |
|
|
Machine Translation (Q)
|
43% |
117
6.81 IPS |
