samsung SM-S937B
Geekbench AI Score
2216
Single Precision Score
2242
Half Precision Score
3543
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | acuesta |
| Upload Date | September 17 2025 03:34 PM |
| Views | 11 |
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% |
2128
395.7 IPS |
|
|
Image Classification (HP)
|
100% |
2264
421.0 IPS |
|
|
Image Classification (Q)
|
100% |
4790
890.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2407
39.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2570
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2971
3.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
4756
5.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
10351
12.3 IPS |
|
|
Object Detection (SP)
|
98% |
1111
88.4 IPS |
|
|
Object Detection (HP)
|
98% |
1325
105.4 IPS |
|
|
Object Detection (Q)
|
83% |
2143
173.1 IPS |
|
|
Face Detection (SP)
|
100% |
3429
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
3469
41.2 IPS |
|
|
Face Detection (Q)
|
95% |
6767
80.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3691
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3124
24.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
6051
55.4 IPS |
|
|
Style Transfer (SP)
|
89% |
8684
11.3 IPS |
|
|
Style Transfer (HP)
|
89% |
7483
9.71 IPS |
|
|
Style Transfer (Q)
|
98% |
16390
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1613
59.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1805
66.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4321
160.1 IPS |
|
|
Text Classification (SP)
|
100% |
695
927.7 IPS |
|
|
Text Classification (HP)
|
99% |
684
913.0 IPS |
|
|
Text Classification (Q)
|
88% |
884
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1411
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
936
16.1 IPS |
|
|
Machine Translation (Q)
|
50% |
446
15.8 IPS |
