samsung SM-S937U
Geekbench AI Score
2140
Single Precision Score
1939
Half Precision Score
3238
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 01 2025 03:45 AM |
| Views | 4 |
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% |
1728
321.4 IPS |
|
|
Image Classification (HP)
|
100% |
1703
316.8 IPS |
|
|
Image Classification (Q)
|
100% |
3697
687.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1973
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2938
47.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4362
5.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
4003
4.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
9226
10.9 IPS |
|
|
Object Detection (SP)
|
98% |
984
78.3 IPS |
|
|
Object Detection (HP)
|
98% |
1185
94.3 IPS |
|
|
Object Detection (Q)
|
83% |
2687
217.1 IPS |
|
|
Face Detection (SP)
|
100% |
3639
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
3573
42.5 IPS |
|
|
Face Detection (Q)
|
95% |
6344
75.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3674
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3027
23.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
6547
60.0 IPS |
|
|
Style Transfer (SP)
|
89% |
8761
11.4 IPS |
|
|
Style Transfer (HP)
|
89% |
7284
9.45 IPS |
|
|
Style Transfer (Q)
|
98% |
13522
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1605
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1801
66.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4190
155.2 IPS |
|
|
Text Classification (SP)
|
100% |
603
805.0 IPS |
|
|
Text Classification (HP)
|
99% |
530
707.4 IPS |
|
|
Text Classification (Q)
|
88% |
533
718.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1218
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (Q)
|
50% |
376
13.4 IPS |
