samsung SM-X238U1
Geekbench AI Score
800
Single Precision Score
1448
Half Precision Score
1679
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Martythebrit |
| Upload Date | February 15 2026 11:39 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
461
85.7 IPS |
|
|
Image Classification (HP)
|
100% |
959
178.3 IPS |
|
|
Image Classification (Q)
|
99% |
1468
273.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
406
6.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
808
13.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1232
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1675
1.95 IPS |
|
|
Pose Estimation (HP)
|
92% |
3443
4.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
2980
3.49 IPS |
|
|
Object Detection (SP)
|
100% |
399
31.7 IPS |
|
|
Object Detection (HP)
|
97% |
780
62.1 IPS |
|
|
Object Detection (Q)
|
85% |
1035
83.4 IPS |
|
|
Face Detection (SP)
|
100% |
1079
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
2042
24.3 IPS |
|
|
Face Detection (Q)
|
97% |
2828
33.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1439
11.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2935
22.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2533
23.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2972
3.86 IPS |
|
|
Style Transfer (HP)
|
88% |
4103
5.33 IPS |
|
|
Style Transfer (Q)
|
98% |
6460
8.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
737
27.2 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1493
55.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1624
60.2 IPS |
|
|
Text Classification (SP)
|
100% |
399
533.1 IPS |
|
|
Text Classification (HP)
|
100% |
678
904.9 IPS |
|
|
Text Classification (Q)
|
93% |
783
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
640
11.0 IPS |
|
|
Machine Translation (HP)
|
96% |
783
13.5 IPS |
|
|
Machine Translation (Q)
|
55% |
545
14.6 IPS |
