samsung SM-S937B
Geekbench AI Score
2454
Single Precision Score
2361
Half Precision Score
3545
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Geertlim87 |
| Upload Date | August 28 2025 07:03 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1938
360.4 IPS |
|
|
Image Classification (HP)
|
100% |
1988
369.8 IPS |
|
|
Image Classification (Q)
|
100% |
4247
789.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2307
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2377
38.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4583
74.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4969
5.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
5137
5.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
11249
13.3 IPS |
|
|
Object Detection (SP)
|
98% |
1048
83.4 IPS |
|
|
Object Detection (HP)
|
98% |
1250
99.5 IPS |
|
|
Object Detection (Q)
|
83% |
1899
153.4 IPS |
|
|
Face Detection (SP)
|
100% |
3876
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
4176
49.6 IPS |
|
|
Face Detection (Q)
|
95% |
7334
87.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4368
33.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3369
26.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
6431
58.9 IPS |
|
|
Style Transfer (SP)
|
89% |
9772
12.7 IPS |
|
|
Style Transfer (HP)
|
89% |
8113
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
14807
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1862
68.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1958
72.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4350
161.2 IPS |
|
|
Text Classification (SP)
|
100% |
834
1.11 KIPS |
|
|
Text Classification (HP)
|
99% |
899
1.20 KIPS |
|
|
Text Classification (Q)
|
88% |
601
810.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1325
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
884
15.2 IPS |
|
|
Machine Translation (Q)
|
50% |
414
14.7 IPS |
