samsung SM-S938U1
Geekbench AI Score
528
Single Precision Score
517
Half Precision Score
1094
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 21 2026 06:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
430
79.9 IPS |
|
|
Image Classification (HP)
|
100% |
423
78.7 IPS |
|
|
Image Classification (Q)
|
99% |
1054
196.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
544
8.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
545
8.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
840
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
561
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
481
0.56 IPS |
|
|
Pose Estimation (Q)
|
98% |
1964
2.30 IPS |
|
|
Object Detection (SP)
|
100% |
286
22.7 IPS |
|
|
Object Detection (HP)
|
100% |
286
22.7 IPS |
|
|
Object Detection (Q)
|
87% |
753
60.4 IPS |
|
|
Face Detection (SP)
|
100% |
724
8.60 IPS |
|
|
Face Detection (HP)
|
100% |
749
8.90 IPS |
|
|
Face Detection (Q)
|
97% |
1687
20.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
656
5.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
611
4.71 IPS |
|
|
Depth Estimation (Q)
|
64% |
1345
12.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1097
1.41 IPS |
|
|
Style Transfer (HP)
|
100% |
1019
1.31 IPS |
|
|
Style Transfer (Q)
|
98% |
2633
3.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
284
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
308
11.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1103
40.9 IPS |
|
|
Text Classification (SP)
|
100% |
396
528.5 IPS |
|
|
Text Classification (HP)
|
100% |
398
531.4 IPS |
|
|
Text Classification (Q)
|
91% |
615
826.7 IPS |
|
|
Machine Translation (SP)
|
100% |
773
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
764
13.2 IPS |
|
|
Machine Translation (Q)
|
57% |
467
11.4 IPS |
