samsung SM-S931B
Geekbench AI Score
2065
Single Precision Score
2026
Half Precision Score
3499
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Ncard00 |
| Upload Date | March 27 2025 10:53 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
919
170.9 IPS |
|
|
Image Classification (HP)
|
100% |
1192
221.7 IPS |
|
|
Image Classification (Q)
|
100% |
2493
463.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1871
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2068
33.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4602
74.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5262
6.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
3434
4.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
9817
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
1136
90.4 IPS |
|
|
Object Detection (HP)
|
98% |
1130
89.9 IPS |
|
|
Object Detection (Q)
|
83% |
2692
217.5 IPS |
|
|
Face Detection (SP)
|
100% |
3243
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
4005
47.6 IPS |
|
|
Face Detection (Q)
|
95% |
8180
97.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4214
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4275
33.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
9984
91.4 IPS |
|
|
Style Transfer (SP)
|
89% |
8073
10.5 IPS |
|
|
Style Transfer (HP)
|
89% |
6578
8.54 IPS |
|
|
Style Transfer (Q)
|
98% |
14669
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1556
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1757
64.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4394
162.8 IPS |
|
|
Text Classification (SP)
|
100% |
609
813.4 IPS |
|
|
Text Classification (HP)
|
99% |
492
656.6 IPS |
|
|
Text Classification (Q)
|
88% |
515
694.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1317
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1256
21.6 IPS |
|
|
Machine Translation (Q)
|
50% |
335
11.9 IPS |
