samsung SM-S931B
Geekbench AI Score
473
Single Precision Score
454
Half Precision Score
969
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 05:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S931B |
| Model ID | samsung SM-S931B |
| 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% |
443
82.4 IPS |
|
|
Image Classification (HP)
|
100% |
439
81.7 IPS |
|
|
Image Classification (Q)
|
99% |
1102
205.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
566
9.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
568
9.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
1127
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
647
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
590
0.69 IPS |
|
|
Pose Estimation (Q)
|
98% |
1881
2.20 IPS |
|
|
Object Detection (SP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (HP)
|
100% |
211
16.8 IPS |
|
|
Object Detection (Q)
|
87% |
554
44.5 IPS |
|
|
Face Detection (SP)
|
100% |
638
7.58 IPS |
|
|
Face Detection (HP)
|
100% |
639
7.59 IPS |
|
|
Face Detection (Q)
|
97% |
1427
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
496
3.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
492
3.79 IPS |
|
|
Depth Estimation (Q)
|
64% |
1054
9.56 IPS |
|
|
Style Transfer (SP)
|
100% |
993
1.28 IPS |
|
|
Style Transfer (HP)
|
100% |
893
1.15 IPS |
|
|
Style Transfer (Q)
|
98% |
2294
2.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
246
9.09 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
245
9.06 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
871
32.3 IPS |
|
|
Text Classification (SP)
|
100% |
320
427.3 IPS |
|
|
Text Classification (HP)
|
100% |
319
426.3 IPS |
|
|
Text Classification (Q)
|
91% |
493
662.1 IPS |
|
|
Machine Translation (SP)
|
100% |
545
9.38 IPS |
|
|
Machine Translation (HP)
|
100% |
550
9.48 IPS |
|
|
Machine Translation (Q)
|
57% |
384
9.37 IPS |
