samsung SM-S938U
Geekbench AI Score
1263
Single Precision Score
2183
Half Precision Score
2131
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Ivianson |
| Upload Date | April 29 2025 07:08 AM |
| Views | 7 |
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% |
721
134.0 IPS |
|
|
Image Classification (HP)
|
100% |
1384
257.4 IPS |
|
|
Image Classification (Q)
|
99% |
1571
293.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1540
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2101
34.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2024
32.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1706
1.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2943
3.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
2730
3.20 IPS |
|
|
Object Detection (SP)
|
100% |
509
40.3 IPS |
|
|
Object Detection (HP)
|
100% |
1173
93.0 IPS |
|
|
Object Detection (Q)
|
86% |
1078
86.6 IPS |
|
|
Face Detection (SP)
|
100% |
2801
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
3476
41.3 IPS |
|
|
Face Detection (Q)
|
97% |
3193
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1564
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4798
37.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
3775
35.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5540
7.12 IPS |
|
|
Style Transfer (HP)
|
100% |
11137
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
11097
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
635
23.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1909
70.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2015
74.7 IPS |
|
|
Text Classification (SP)
|
100% |
677
904.0 IPS |
|
|
Text Classification (HP)
|
100% |
673
898.0 IPS |
|
|
Text Classification (Q)
|
91% |
1060
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1033
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1027
17.7 IPS |
|
|
Machine Translation (Q)
|
57% |
724
17.7 IPS |
