samsung SM-S931W
Geekbench AI Score
486
Single Precision Score
480
Half Precision Score
974
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | jasubhai |
| Upload Date | March 18 2025 07:25 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S931W |
| Model ID | samsung SM-S931W |
| 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% |
437
81.3 IPS |
|
|
Image Classification (HP)
|
100% |
426
79.3 IPS |
|
|
Image Classification (Q)
|
99% |
1070
199.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
401
6.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
401
6.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
520
8.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
469
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
477
0.56 IPS |
|
|
Pose Estimation (Q)
|
98% |
1878
2.20 IPS |
|
|
Object Detection (SP)
|
100% |
284
22.5 IPS |
|
|
Object Detection (HP)
|
100% |
265
21.0 IPS |
|
|
Object Detection (Q)
|
87% |
663
53.2 IPS |
|
|
Face Detection (SP)
|
100% |
633
7.52 IPS |
|
|
Face Detection (HP)
|
100% |
742
8.82 IPS |
|
|
Face Detection (Q)
|
97% |
1689
20.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
560
4.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
559
4.31 IPS |
|
|
Depth Estimation (Q)
|
64% |
1055
9.57 IPS |
|
|
Style Transfer (SP)
|
100% |
1102
1.42 IPS |
|
|
Style Transfer (HP)
|
100% |
902
1.16 IPS |
|
|
Style Transfer (Q)
|
98% |
2267
2.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
308
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
306
11.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1018
37.7 IPS |
|
|
Text Classification (SP)
|
100% |
367
489.5 IPS |
|
|
Text Classification (HP)
|
100% |
366
489.0 IPS |
|
|
Text Classification (Q)
|
91% |
567
762.4 IPS |
|
|
Machine Translation (SP)
|
100% |
728
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (Q)
|
57% |
476
11.6 IPS |
