samsung SM-S937B
Geekbench AI Score
2782
Single Precision Score
4223
Half Precision Score
3588
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 20 2025 11:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S937B |
| Model ID | samsung SM-S937B |
| 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% |
1576
293.1 IPS |
|
|
Image Classification (HP)
|
100% |
2284
424.8 IPS |
|
|
Image Classification (Q)
|
100% |
2049
381.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3188
51.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5521
89.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5751
93.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13699
16.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
24737
28.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24359
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
99% |
2003
158.9 IPS |
|
|
Object Detection (Q)
|
85% |
1966
158.3 IPS |
|
|
Face Detection (SP)
|
100% |
6133
72.9 IPS |
|
|
Face Detection (HP)
|
100% |
9466
112.5 IPS |
|
|
Face Detection (Q)
|
97% |
8543
101.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7091
54.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9722
75.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
7414
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16864
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38313
49.3 IPS |
|
|
Style Transfer (Q)
|
98% |
37768
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3741
138.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5667
209.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5685
210.7 IPS |
|
|
Text Classification (SP)
|
35% |
91
888.0 IPS |
|
|
Text Classification (HP)
|
35% |
89
813.0 IPS |
|
|
Text Classification (Q)
|
33% |
70
784.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1040
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1627
28.0 IPS |
|
|
Machine Translation (Q)
|
48% |
659
25.3 IPS |
