samsung SM-T738U
Geekbench AI Score
550
Single Precision Score
546
Half Precision Score
1038
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | willus |
| Upload Date | November 27 2025 07:34 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-T738U |
| Model ID | samsung SM-T738U |
| Motherboard | lito |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 3.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
243
45.2 IPS |
|
|
Image Classification (HP)
|
100% |
244
45.3 IPS |
|
|
Image Classification (Q)
|
100% |
706
131.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
301
4.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
777
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1200
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1203
1.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
1725
2.05 IPS |
|
|
Object Detection (SP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (HP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
83% |
704
56.8 IPS |
|
|
Face Detection (SP)
|
100% |
780
9.27 IPS |
|
|
Face Detection (HP)
|
100% |
779
9.26 IPS |
|
|
Face Detection (Q)
|
95% |
1626
19.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
979
7.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
923
7.11 IPS |
|
|
Depth Estimation (Q)
|
64% |
1606
14.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2015
2.62 IPS |
|
|
Style Transfer (HP)
|
89% |
2013
2.61 IPS |
|
|
Style Transfer (Q)
|
98% |
4078
5.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
546
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
544
20.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
992
36.7 IPS |
|
|
Text Classification (SP)
|
100% |
288
383.9 IPS |
|
|
Text Classification (HP)
|
100% |
286
381.3 IPS |
|
|
Text Classification (Q)
|
88% |
566
763.9 IPS |
|
|
Machine Translation (SP)
|
100% |
500
8.62 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (Q)
|
50% |
367
13.0 IPS |
