samsung SM-S938U1
Geekbench AI Score
1339
Single Precision Score
2206
Half Precision Score
2101
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 19 2025 05:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
721
134.2 IPS |
|
|
Image Classification (HP)
|
100% |
1008
187.5 IPS |
|
|
Image Classification (Q)
|
99% |
699
130.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1552
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1957
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1725
2.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2978
3.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
2981
3.49 IPS |
|
|
Object Detection (SP)
|
100% |
574
45.6 IPS |
|
|
Object Detection (HP)
|
100% |
1106
87.7 IPS |
|
|
Object Detection (Q)
|
86% |
1075
86.4 IPS |
|
|
Face Detection (SP)
|
100% |
3187
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
3480
41.4 IPS |
|
|
Face Detection (Q)
|
97% |
3694
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1684
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4950
38.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
4109
38.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6257
8.04 IPS |
|
|
Style Transfer (HP)
|
100% |
13440
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
13326
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
666
24.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2279
84.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2237
82.9 IPS |
|
|
Text Classification (SP)
|
100% |
699
933.1 IPS |
|
|
Text Classification (HP)
|
100% |
694
926.2 IPS |
|
|
Text Classification (Q)
|
91% |
1119
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1072
18.5 IPS |
|
|
Machine Translation (Q)
|
57% |
758
18.5 IPS |
