samsung SM-S937U
Geekbench AI Score
2405
Single Precision Score
2376
Half Precision Score
3888
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 01 2025 03:42 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S937U |
| Model ID | samsung SM-S937U |
| 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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1818
338.1 IPS |
|
|
Image Classification (HP)
|
100% |
1825
339.5 IPS |
|
|
Image Classification (Q)
|
100% |
3869
719.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2275
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5039
81.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4906
5.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4968
5.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
9222
10.9 IPS |
|
|
Object Detection (SP)
|
98% |
1207
96.1 IPS |
|
|
Object Detection (HP)
|
98% |
1442
114.8 IPS |
|
|
Object Detection (Q)
|
83% |
3315
267.8 IPS |
|
|
Face Detection (SP)
|
100% |
3825
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
3799
45.1 IPS |
|
|
Face Detection (Q)
|
95% |
7638
91.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4012
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3639
28.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
7154
65.5 IPS |
|
|
Style Transfer (SP)
|
89% |
10731
13.9 IPS |
|
|
Style Transfer (HP)
|
89% |
8916
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
16455
21.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2021
74.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2025
74.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3783
140.2 IPS |
|
|
Text Classification (SP)
|
100% |
641
856.2 IPS |
|
|
Text Classification (HP)
|
99% |
830
1.11 KIPS |
|
|
Text Classification (Q)
|
88% |
906
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1243
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
975
16.8 IPS |
|
|
Machine Translation (Q)
|
50% |
430
15.3 IPS |
