samsung SM-S938U1
Geekbench AI Score
1233
Single Precision Score
1967
Half Precision Score
1967
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 19 2025 08:38 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% |
725
134.9 IPS |
|
|
Image Classification (HP)
|
100% |
731
135.9 IPS |
|
|
Image Classification (Q)
|
99% |
933
174.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1614
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1714
2.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2881
3.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
2494
2.92 IPS |
|
|
Object Detection (SP)
|
100% |
500
39.6 IPS |
|
|
Object Detection (HP)
|
100% |
1032
81.9 IPS |
|
|
Object Detection (Q)
|
86% |
1080
86.7 IPS |
|
|
Face Detection (SP)
|
100% |
2745
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
3978
47.3 IPS |
|
|
Face Detection (Q)
|
97% |
3703
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1513
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4295
33.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
3451
32.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5080
6.53 IPS |
|
|
Style Transfer (HP)
|
100% |
11081
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
10862
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
618
22.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1922
71.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1912
70.9 IPS |
|
|
Text Classification (SP)
|
100% |
679
905.7 IPS |
|
|
Text Classification (HP)
|
100% |
689
919.8 IPS |
|
|
Text Classification (Q)
|
91% |
1115
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1055
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1036
17.8 IPS |
|
|
Machine Translation (Q)
|
57% |
725
17.7 IPS |
