samsung SM-S931B
Geekbench AI Score
633
Single Precision Score
586
Half Precision Score
1280
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 10:43 AM |
| Views | 2 |
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% |
420
78.1 IPS |
|
|
Image Classification (HP)
|
100% |
418
77.8 IPS |
|
|
Image Classification (Q)
|
99% |
1003
187.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
494
8.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
465
7.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
902
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
654
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
620
0.72 IPS |
|
|
Pose Estimation (Q)
|
98% |
2524
2.96 IPS |
|
|
Object Detection (SP)
|
100% |
351
27.8 IPS |
|
|
Object Detection (HP)
|
100% |
337
26.7 IPS |
|
|
Object Detection (Q)
|
87% |
884
70.9 IPS |
|
|
Face Detection (SP)
|
100% |
898
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
898
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
2085
24.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
841
6.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
660
5.09 IPS |
|
|
Depth Estimation (Q)
|
64% |
1531
13.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1432
1.84 IPS |
|
|
Style Transfer (HP)
|
100% |
1270
1.63 IPS |
|
|
Style Transfer (Q)
|
98% |
3402
4.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
425
15.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
399
14.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1387
51.4 IPS |
|
|
Text Classification (SP)
|
100% |
466
621.5 IPS |
|
|
Text Classification (HP)
|
100% |
466
621.9 IPS |
|
|
Text Classification (Q)
|
91% |
777
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (Q)
|
57% |
500
12.2 IPS |
