samsung SM-S931W
Geekbench AI Score
1226
Single Precision Score
1905
Half Precision Score
1901
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | jasubhai |
| Upload Date | March 18 2025 07:11 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S931W |
| Model ID | samsung SM-S931W |
| 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% |
717
133.4 IPS |
|
|
Image Classification (HP)
|
100% |
834
155.0 IPS |
|
|
Image Classification (Q)
|
99% |
765
142.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1325
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1921
31.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1673
1.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
2480
2.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
2478
2.90 IPS |
|
|
Object Detection (SP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (HP)
|
100% |
1090
86.5 IPS |
|
|
Object Detection (Q)
|
86% |
1081
86.8 IPS |
|
|
Face Detection (SP)
|
100% |
2741
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
3433
40.8 IPS |
|
|
Face Detection (Q)
|
97% |
3189
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1500
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4072
31.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
3352
31.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5230
6.72 IPS |
|
|
Style Transfer (HP)
|
100% |
10956
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
10888
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
639
23.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1830
67.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1934
71.7 IPS |
|
|
Text Classification (SP)
|
100% |
678
905.5 IPS |
|
|
Text Classification (HP)
|
100% |
680
908.0 IPS |
|
|
Text Classification (Q)
|
91% |
1083
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (Q)
|
57% |
645
15.8 IPS |
