samsung SM-S937U
Geekbench AI Score
2706
Single Precision Score
4241
Half Precision Score
3695
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 01 2025 03:48 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1664
309.5 IPS |
|
|
Image Classification (HP)
|
100% |
2422
450.5 IPS |
|
|
Image Classification (Q)
|
100% |
2791
519.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3099
50.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5614
91.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5816
94.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13730
16.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
22921
26.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
22044
25.8 IPS |
|
|
Object Detection (SP)
|
100% |
1401
111.1 IPS |
|
|
Object Detection (HP)
|
99% |
1887
149.7 IPS |
|
|
Object Detection (Q)
|
85% |
1863
149.9 IPS |
|
|
Face Detection (SP)
|
100% |
5260
62.5 IPS |
|
|
Face Detection (HP)
|
100% |
9807
116.5 IPS |
|
|
Face Detection (Q)
|
97% |
8605
102.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6975
53.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9610
74.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
7343
71.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17401
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37395
48.1 IPS |
|
|
Style Transfer (Q)
|
98% |
36930
47.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3475
128.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5400
199.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5671
210.2 IPS |
|
|
Text Classification (SP)
|
35% |
87
848.1 IPS |
|
|
Text Classification (HP)
|
35% |
90
822.7 IPS |
|
|
Text Classification (Q)
|
33% |
71
798.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1100
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1869
32.2 IPS |
|
|
Machine Translation (Q)
|
48% |
759
29.1 IPS |
