samsung SM-S931B
Geekbench AI Score
1316
Single Precision Score
2133
Half Precision Score
2005
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | lensmich |
| Upload Date | April 13 2025 10:18 PM |
| Views | 3 |
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% |
724
134.6 IPS |
|
|
Image Classification (HP)
|
100% |
1014
188.6 IPS |
|
|
Image Classification (Q)
|
99% |
958
178.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1582
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1198
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1717
2.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2850
3.33 IPS |
|
|
Pose Estimation (Q)
|
96% |
2796
3.28 IPS |
|
|
Object Detection (SP)
|
100% |
528
41.9 IPS |
|
|
Object Detection (HP)
|
100% |
1267
100.5 IPS |
|
|
Object Detection (Q)
|
86% |
1152
92.6 IPS |
|
|
Face Detection (SP)
|
100% |
3384
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
4353
51.7 IPS |
|
|
Face Detection (Q)
|
97% |
4238
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1683
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4659
36.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
3616
33.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5964
7.67 IPS |
|
|
Style Transfer (HP)
|
100% |
12985
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
11763
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
626
23.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2063
76.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2024
75.0 IPS |
|
|
Text Classification (SP)
|
100% |
678
905.3 IPS |
|
|
Text Classification (HP)
|
100% |
688
918.5 IPS |
|
|
Text Classification (Q)
|
91% |
1084
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1018
17.5 IPS |
|
|
Machine Translation (Q)
|
57% |
719
17.6 IPS |
