samsung SM-S931B
Geekbench AI Score
2054
Single Precision Score
1997
Half Precision Score
3121
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | February 04 2025 11:07 PM |
| Views | 2 |
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% |
2016
374.9 IPS |
|
|
Image Classification (HP)
|
100% |
1958
364.1 IPS |
|
|
Image Classification (Q)
|
100% |
4358
810.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2409
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1147
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1311
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2726
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
4371
5.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
8736
10.4 IPS |
|
|
Object Detection (SP)
|
98% |
966
76.9 IPS |
|
|
Object Detection (HP)
|
98% |
805
64.1 IPS |
|
|
Object Detection (Q)
|
83% |
2696
217.8 IPS |
|
|
Face Detection (SP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
3493
41.5 IPS |
|
|
Face Detection (Q)
|
95% |
6626
79.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3258
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4133
31.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
8442
77.3 IPS |
|
|
Style Transfer (SP)
|
89% |
9158
11.9 IPS |
|
|
Style Transfer (HP)
|
89% |
7529
9.77 IPS |
|
|
Style Transfer (Q)
|
98% |
14312
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1458
53.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1665
61.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3601
133.4 IPS |
|
|
Text Classification (SP)
|
100% |
550
733.9 IPS |
|
|
Text Classification (HP)
|
99% |
550
734.2 IPS |
|
|
Text Classification (Q)
|
88% |
661
892.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1361
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1285
22.1 IPS |
|
|
Machine Translation (Q)
|
50% |
342
12.1 IPS |
