samsung SM-S938U1
Geekbench AI Score
1319
Single Precision Score
2110
Half Precision Score
2112
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 19 2025 10:38 PM |
| Views | 2 |
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% |
678
126.1 IPS |
|
|
Image Classification (HP)
|
100% |
733
136.3 IPS |
|
|
Image Classification (Q)
|
99% |
789
147.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1470
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1892
30.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1804
29.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1725
2.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2972
3.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
2977
3.49 IPS |
|
|
Object Detection (SP)
|
100% |
576
45.7 IPS |
|
|
Object Detection (HP)
|
100% |
1030
81.7 IPS |
|
|
Object Detection (Q)
|
86% |
1065
85.6 IPS |
|
|
Face Detection (SP)
|
100% |
3168
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
3600
42.8 IPS |
|
|
Face Detection (Q)
|
97% |
3706
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1679
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4949
38.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
4082
37.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6252
8.04 IPS |
|
|
Style Transfer (HP)
|
100% |
13340
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
13295
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
662
24.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2295
84.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2234
82.8 IPS |
|
|
Text Classification (SP)
|
100% |
680
907.6 IPS |
|
|
Text Classification (HP)
|
100% |
706
942.9 IPS |
|
|
Text Classification (Q)
|
91% |
1117
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1077
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1071
18.5 IPS |
|
|
Machine Translation (Q)
|
57% |
780
19.1 IPS |
