samsung SM-S931B
Geekbench AI Score
1069
Single Precision Score
1758
Half Precision Score
1670
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 10:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
584
108.6 IPS |
|
|
Image Classification (HP)
|
100% |
899
167.2 IPS |
|
|
Image Classification (Q)
|
99% |
992
185.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1219
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1332
1.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
1912
2.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
1918
2.25 IPS |
|
|
Object Detection (SP)
|
100% |
400
31.7 IPS |
|
|
Object Detection (HP)
|
100% |
927
73.6 IPS |
|
|
Object Detection (Q)
|
86% |
960
77.1 IPS |
|
|
Face Detection (SP)
|
100% |
2213
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
3473
41.3 IPS |
|
|
Face Detection (Q)
|
97% |
3814
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1185
9.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
3106
24.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2671
24.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3973
5.11 IPS |
|
|
Style Transfer (HP)
|
100% |
8331
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
8302
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
578
21.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1476
54.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1456
54.0 IPS |
|
|
Text Classification (SP)
|
100% |
680
907.3 IPS |
|
|
Text Classification (HP)
|
100% |
683
911.5 IPS |
|
|
Text Classification (Q)
|
91% |
1076
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1042
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
939
16.2 IPS |
|
|
Machine Translation (Q)
|
57% |
574
14.0 IPS |
