samsung SM-S931U
Geekbench AI Score
2728
Single Precision Score
2678
Half Precision Score
4264
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | mvl30 |
| Upload Date | March 04 2025 04:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S931U |
| Model ID | samsung SM-S931U |
| 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% |
2000
372.0 IPS |
|
|
Image Classification (HP)
|
100% |
2013
374.3 IPS |
|
|
Image Classification (Q)
|
100% |
4452
828.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2504
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2381
38.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4879
79.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5450
6.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
4645
5.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
11982
14.2 IPS |
|
|
Object Detection (SP)
|
98% |
1407
112.0 IPS |
|
|
Object Detection (HP)
|
98% |
1444
114.9 IPS |
|
|
Object Detection (Q)
|
83% |
1775
143.4 IPS |
|
|
Face Detection (SP)
|
100% |
4380
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
4343
51.6 IPS |
|
|
Face Detection (Q)
|
95% |
9510
113.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4820
37.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4743
36.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
9269
84.9 IPS |
|
|
Style Transfer (SP)
|
89% |
11470
14.9 IPS |
|
|
Style Transfer (HP)
|
89% |
11216
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19296
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1999
73.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2174
80.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5355
198.4 IPS |
|
|
Text Classification (SP)
|
100% |
938
1.25 KIPS |
|
|
Text Classification (HP)
|
99% |
962
1.28 KIPS |
|
|
Text Classification (Q)
|
88% |
1089
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1311
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1224
21.1 IPS |
|
|
Machine Translation (Q)
|
50% |
434
15.4 IPS |
