samsung SM-S936B
Geekbench AI Score
534
Single Precision Score
518
Half Precision Score
1090
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 08 2025 06:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S936B |
| Model ID | samsung SM-S936B |
| 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% |
423
78.6 IPS |
|
|
Image Classification (HP)
|
100% |
416
77.3 IPS |
|
|
Image Classification (Q)
|
99% |
1048
195.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
525
8.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
503
8.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
720
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
521
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
508
0.59 IPS |
|
|
Pose Estimation (Q)
|
98% |
1976
2.31 IPS |
|
|
Object Detection (SP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (HP)
|
100% |
304
24.1 IPS |
|
|
Object Detection (Q)
|
87% |
782
62.7 IPS |
|
|
Face Detection (SP)
|
100% |
742
8.82 IPS |
|
|
Face Detection (HP)
|
100% |
692
8.23 IPS |
|
|
Face Detection (Q)
|
97% |
1561
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
611
4.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
599
4.61 IPS |
|
|
Depth Estimation (Q)
|
64% |
1225
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1217
1.56 IPS |
|
|
Style Transfer (HP)
|
100% |
940
1.21 IPS |
|
|
Style Transfer (Q)
|
98% |
2626
3.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
314
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
314
11.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1105
41.0 IPS |
|
|
Text Classification (SP)
|
100% |
400
533.4 IPS |
|
|
Text Classification (HP)
|
100% |
400
534.0 IPS |
|
|
Text Classification (Q)
|
91% |
669
898.8 IPS |
|
|
Machine Translation (SP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
890
15.3 IPS |
|
|
Machine Translation (Q)
|
57% |
547
13.4 IPS |
