samsung SM-S931B
Geekbench AI Score
2437
Single Precision Score
2555
Half Precision Score
3941
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 12:35 AM |
| 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% |
1715
319.0 IPS |
|
|
Image Classification (HP)
|
100% |
1646
306.2 IPS |
|
|
Image Classification (Q)
|
100% |
3116
579.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2187
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2632
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3379
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
5259
6.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
6932
8.22 IPS |
|
|
Object Detection (SP)
|
98% |
1564
124.4 IPS |
|
|
Object Detection (HP)
|
98% |
1554
123.6 IPS |
|
|
Object Detection (Q)
|
83% |
3719
300.4 IPS |
|
|
Face Detection (SP)
|
100% |
3493
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
4332
51.5 IPS |
|
|
Face Detection (Q)
|
95% |
8869
105.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4549
35.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4552
35.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
10181
93.2 IPS |
|
|
Style Transfer (SP)
|
89% |
11208
14.5 IPS |
|
|
Style Transfer (HP)
|
89% |
11321
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
23222
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2194
81.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2281
84.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5859
217.1 IPS |
|
|
Text Classification (SP)
|
100% |
732
977.3 IPS |
|
|
Text Classification (HP)
|
99% |
618
824.6 IPS |
|
|
Text Classification (Q)
|
88% |
646
871.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1309
22.6 IPS |
|
|
Machine Translation (Q)
|
50% |
539
19.1 IPS |
