samsung SM-S931B
Geekbench AI Score
1107
Single Precision Score
1788
Half Precision Score
1762
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | February 04 2025 11:13 PM |
| 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% |
718
133.6 IPS |
|
|
Image Classification (HP)
|
100% |
824
153.2 IPS |
|
|
Image Classification (Q)
|
99% |
786
146.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1472
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2070
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1545
1.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
2465
2.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
1839
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (HP)
|
100% |
920
73.0 IPS |
|
|
Object Detection (Q)
|
86% |
918
73.7 IPS |
|
|
Face Detection (SP)
|
100% |
2301
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
4112
48.9 IPS |
|
|
Face Detection (Q)
|
97% |
4619
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1180
9.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
3159
24.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2732
25.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3998
5.14 IPS |
|
|
Style Transfer (HP)
|
100% |
8523
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
8493
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
576
21.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1511
55.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1437
53.2 IPS |
|
|
Text Classification (SP)
|
100% |
666
889.2 IPS |
|
|
Text Classification (HP)
|
100% |
674
899.9 IPS |
|
|
Text Classification (Q)
|
91% |
1070
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1022
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
892
15.4 IPS |
|
|
Machine Translation (Q)
|
57% |
640
15.6 IPS |
