samsung SM-S937B
Geekbench AI Score
2888
Single Precision Score
2860
Half Precision Score
4742
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 22 2025 09:59 AM |
| Views | 1 |
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% |
2084
387.7 IPS |
|
|
Image Classification (HP)
|
100% |
2161
402.0 IPS |
|
|
Image Classification (Q)
|
100% |
3567
663.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2546
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2599
42.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5452
88.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5648
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
5279
6.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
13121
15.6 IPS |
|
|
Object Detection (SP)
|
98% |
1720
136.9 IPS |
|
|
Object Detection (HP)
|
98% |
1734
137.9 IPS |
|
|
Object Detection (Q)
|
83% |
3943
318.5 IPS |
|
|
Face Detection (SP)
|
100% |
4626
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
4569
54.3 IPS |
|
|
Face Detection (Q)
|
95% |
9830
117.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4482
34.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4619
35.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
7924
72.6 IPS |
|
|
Style Transfer (SP)
|
89% |
11885
15.4 IPS |
|
|
Style Transfer (HP)
|
89% |
11422
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
21481
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2321
85.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2376
87.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6353
235.4 IPS |
|
|
Text Classification (SP)
|
100% |
1002
1.34 KIPS |
|
|
Text Classification (HP)
|
99% |
954
1.27 KIPS |
|
|
Text Classification (Q)
|
88% |
966
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1370
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1304
22.5 IPS |
|
|
Machine Translation (Q)
|
50% |
557
19.8 IPS |
