samsung SM-S931B
Geekbench AI Score
2746
Single Precision Score
2734
Half Precision Score
4301
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 11:35 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% |
2011
374.0 IPS |
|
|
Image Classification (HP)
|
100% |
2031
377.7 IPS |
|
|
Image Classification (Q)
|
100% |
4417
821.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2486
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2404
39.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5156
83.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5552
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
5315
6.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
12984
15.4 IPS |
|
|
Object Detection (SP)
|
98% |
1675
133.3 IPS |
|
|
Object Detection (HP)
|
98% |
1660
132.1 IPS |
|
|
Object Detection (Q)
|
83% |
3608
291.4 IPS |
|
|
Face Detection (SP)
|
100% |
4373
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
3997
47.5 IPS |
|
|
Face Detection (Q)
|
95% |
9536
113.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4704
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4679
36.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
10902
99.9 IPS |
|
|
Style Transfer (SP)
|
89% |
11655
15.1 IPS |
|
|
Style Transfer (HP)
|
89% |
11282
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19593
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1713
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2027
74.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5239
194.1 IPS |
|
|
Text Classification (SP)
|
100% |
924
1.23 KIPS |
|
|
Text Classification (HP)
|
99% |
952
1.27 KIPS |
|
|
Text Classification (Q)
|
88% |
414
558.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1384
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1334
23.0 IPS |
|
|
Machine Translation (Q)
|
50% |
460
16.3 IPS |
