samsung SM-S938U
Geekbench AI Score
1316
Single Precision Score
2157
Half Precision Score
1991
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | dgbrownnt |
| Upload Date | April 16 2025 03:19 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938U |
| Model ID | samsung SM-S938U |
| 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% |
689
128.1 IPS |
|
|
Image Classification (HP)
|
100% |
798
148.4 IPS |
|
|
Image Classification (Q)
|
99% |
544
101.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1453
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1807
29.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1803
29.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1725
2.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2980
3.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
2978
3.49 IPS |
|
|
Object Detection (SP)
|
100% |
576
45.7 IPS |
|
|
Object Detection (HP)
|
100% |
1174
93.2 IPS |
|
|
Object Detection (Q)
|
86% |
1051
84.4 IPS |
|
|
Face Detection (SP)
|
100% |
3190
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
4021
47.8 IPS |
|
|
Face Detection (Q)
|
97% |
3217
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1687
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4951
38.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
4066
37.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6262
8.05 IPS |
|
|
Style Transfer (HP)
|
100% |
13436
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
13304
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
665
24.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2289
84.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2248
83.3 IPS |
|
|
Text Classification (SP)
|
100% |
670
894.5 IPS |
|
|
Text Classification (HP)
|
100% |
685
914.4 IPS |
|
|
Text Classification (Q)
|
91% |
1089
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1045
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1035
17.8 IPS |
|
|
Machine Translation (Q)
|
57% |
749
18.3 IPS |
