samsung SM-S931B
Geekbench AI Score
2657
Single Precision Score
2646
Half Precision Score
4640
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 25 2025 01:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2159
401.5 IPS |
|
|
Image Classification (HP)
|
100% |
2058
382.7 IPS |
|
|
Image Classification (Q)
|
100% |
4628
860.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2466
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2382
38.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5280
85.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5450
6.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
4132
4.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
11721
13.9 IPS |
|
|
Object Detection (SP)
|
98% |
1413
112.5 IPS |
|
|
Object Detection (HP)
|
98% |
1607
127.9 IPS |
|
|
Object Detection (Q)
|
83% |
2696
217.8 IPS |
|
|
Face Detection (SP)
|
100% |
4257
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
4242
50.4 IPS |
|
|
Face Detection (Q)
|
95% |
9964
119.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4821
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4750
36.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
9976
91.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7879
10.2 IPS |
|
|
Style Transfer (HP)
|
89% |
8973
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18767
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2003
74.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2238
82.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6882
255.0 IPS |
|
|
Text Classification (SP)
|
100% |
965
1.29 KIPS |
|
|
Text Classification (HP)
|
99% |
927
1.24 KIPS |
|
|
Text Classification (Q)
|
88% |
1003
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1372
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1379
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
466
16.5 IPS |
