samsung SM-S937B
Geekbench AI Score
1284
Single Precision Score
2052
Half Precision Score
1915
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 22 2025 10:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
631
117.3 IPS |
|
|
Image Classification (HP)
|
100% |
750
139.5 IPS |
|
|
Image Classification (Q)
|
99% |
557
103.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1579
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2006
32.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1574
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1719
2.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2867
3.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
2753
3.23 IPS |
|
|
Object Detection (SP)
|
100% |
530
42.0 IPS |
|
|
Object Detection (HP)
|
100% |
1104
87.6 IPS |
|
|
Object Detection (Q)
|
86% |
1004
80.7 IPS |
|
|
Face Detection (SP)
|
100% |
3208
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
3611
42.9 IPS |
|
|
Face Detection (Q)
|
97% |
3690
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1662
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4706
36.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
3896
36.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5846
7.52 IPS |
|
|
Style Transfer (HP)
|
100% |
12153
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
11736
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
633
23.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2127
78.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2215
82.1 IPS |
|
|
Text Classification (SP)
|
100% |
656
875.4 IPS |
|
|
Text Classification (HP)
|
100% |
669
893.5 IPS |
|
|
Text Classification (Q)
|
91% |
1037
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (Q)
|
57% |
708
17.3 IPS |
