samsung SM-S938U1
Geekbench AI Score
1310
Single Precision Score
2067
Half Precision Score
2081
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 19 2025 08:02 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% |
670
124.6 IPS |
|
|
Image Classification (HP)
|
100% |
703
130.8 IPS |
|
|
Image Classification (Q)
|
99% |
701
130.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1477
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1703
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1838
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1720
2.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2983
3.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
2976
3.49 IPS |
|
|
Object Detection (SP)
|
100% |
574
45.5 IPS |
|
|
Object Detection (HP)
|
100% |
1097
87.0 IPS |
|
|
Object Detection (Q)
|
86% |
1010
81.1 IPS |
|
|
Face Detection (SP)
|
100% |
3242
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
4021
47.8 IPS |
|
|
Face Detection (Q)
|
97% |
4571
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1679
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4947
38.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
4072
37.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6261
8.05 IPS |
|
|
Style Transfer (HP)
|
100% |
13398
17.2 IPS |
|
|
Style Transfer (Q)
|
98% |
13360
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
635
23.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1921
70.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1910
70.8 IPS |
|
|
Text Classification (SP)
|
100% |
667
890.0 IPS |
|
|
Text Classification (HP)
|
100% |
682
910.9 IPS |
|
|
Text Classification (Q)
|
91% |
1087
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1057
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (Q)
|
57% |
763
18.7 IPS |
