samsung SM-S931B
Geekbench AI Score
479
Single Precision Score
26418
Half Precision Score
58472
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | lensmich |
| Upload Date | April 13 2025 10:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
452
84.1 IPS |
|
|
Image Classification (HP)
|
100% |
21024
3.91 KIPS |
|
|
Image Classification (Q)
|
97% |
49101
9.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
565
9.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
13571
220.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
41780
679.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
624
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
123433
144.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
477427
558.8 IPS |
|
|
Object Detection (SP)
|
100% |
289
22.9 IPS |
|
|
Object Detection (HP)
|
100% |
17934
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
20540
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
566
6.73 IPS |
|
|
Face Detection (HP)
|
100% |
38491
457.4 IPS |
|
|
Face Detection (Q)
|
97% |
124250
1.48 KIPS |
|
|
Depth Estimation (SP)
|
100% |
495
3.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
80444
619.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
134310
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
898
1.15 IPS |
|
|
Style Transfer (HP)
|
98% |
98394
126.9 IPS |
|
|
Style Transfer (Q)
|
98% |
488550
630.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
244
9.03 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53042
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
129851
4.81 KIPS |
|
|
Text Classification (SP)
|
100% |
363
484.2 IPS |
|
|
Text Classification (HP)
|
100% |
3865
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
7813
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4198
72.3 IPS |
|
|
Machine Translation (Q)
|
56% |
2808
72.3 IPS |
