samsung SM-S938U1 S25U samsung SM-S938U1
Geekbench AI Score
2416
Single Precision Score
2531
Half Precision Score
4103
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | jeradhill |
| Upload Date | September 03 2025 03:12 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938U1 |
| Model ID | samsung SM-S938U1 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1886
350.7 IPS |
|
|
Image Classification (HP)
|
100% |
1968
366.0 IPS |
|
|
Image Classification (Q)
|
100% |
4378
814.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5418
88.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5424
6.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
5073
5.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
12884
15.3 IPS |
|
|
Object Detection (SP)
|
98% |
1583
126.0 IPS |
|
|
Object Detection (HP)
|
98% |
1582
125.9 IPS |
|
|
Object Detection (Q)
|
83% |
3063
247.4 IPS |
|
|
Face Detection (SP)
|
100% |
3492
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
3514
41.7 IPS |
|
|
Face Detection (Q)
|
95% |
7199
85.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3522
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4356
33.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
9825
90.0 IPS |
|
|
Style Transfer (SP)
|
89% |
11370
14.8 IPS |
|
|
Style Transfer (HP)
|
89% |
11202
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
23802
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1965
72.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1806
66.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4441
164.6 IPS |
|
|
Text Classification (SP)
|
100% |
492
656.1 IPS |
|
|
Text Classification (HP)
|
99% |
689
919.8 IPS |
|
|
Text Classification (Q)
|
88% |
348
469.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1330
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1356
23.4 IPS |
|
|
Machine Translation (Q)
|
50% |
556
19.8 IPS |
