samsung SM-S931B
Geekbench AI Score
465
Single Precision Score
455
Half Precision Score
952
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | February 04 2025 11:24 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
421
78.3 IPS |
|
|
Image Classification (HP)
|
100% |
415
77.2 IPS |
|
|
Image Classification (Q)
|
99% |
1025
191.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
525
8.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
469
7.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
906
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
381
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
443
0.52 IPS |
|
|
Pose Estimation (Q)
|
98% |
1841
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
264
21.0 IPS |
|
|
Object Detection (HP)
|
100% |
243
19.3 IPS |
|
|
Object Detection (Q)
|
87% |
637
51.1 IPS |
|
|
Face Detection (SP)
|
100% |
695
8.26 IPS |
|
|
Face Detection (HP)
|
100% |
698
8.29 IPS |
|
|
Face Detection (Q)
|
97% |
1233
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
482
3.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
500
3.85 IPS |
|
|
Depth Estimation (Q)
|
64% |
1081
9.81 IPS |
|
|
Style Transfer (SP)
|
100% |
976
1.26 IPS |
|
|
Style Transfer (HP)
|
100% |
779
1.00 IPS |
|
|
Style Transfer (Q)
|
98% |
1986
2.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
290
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1021
37.8 IPS |
|
|
Text Classification (SP)
|
100% |
369
492.4 IPS |
|
|
Text Classification (HP)
|
100% |
369
492.7 IPS |
|
|
Text Classification (Q)
|
91% |
493
663.2 IPS |
|
|
Machine Translation (SP)
|
100% |
620
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
625
10.8 IPS |
|
|
Machine Translation (Q)
|
57% |
423
10.3 IPS |
