samsung SM-S931B
Geekbench AI Score
495
Single Precision Score
26660
Half Precision Score
59602
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 08 2025 10:33 PM |
| Views | 5 |
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% |
451
83.8 IPS |
|
|
Image Classification (HP)
|
100% |
21082
3.92 KIPS |
|
|
Image Classification (Q)
|
97% |
48960
9.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
553
8.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
13625
220.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
40594
660.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
575
0.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
123500
144.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
477198
558.5 IPS |
|
|
Object Detection (SP)
|
100% |
288
22.9 IPS |
|
|
Object Detection (HP)
|
100% |
17884
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
20558
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
566
6.72 IPS |
|
|
Face Detection (HP)
|
100% |
40629
482.8 IPS |
|
|
Face Detection (Q)
|
97% |
136020
1.62 KIPS |
|
|
Depth Estimation (SP)
|
100% |
610
4.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
83109
640.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
141432
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
998
1.28 IPS |
|
|
Style Transfer (HP)
|
98% |
98262
126.7 IPS |
|
|
Style Transfer (Q)
|
98% |
489630
631.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
290
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52517
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
133015
4.93 KIPS |
|
|
Text Classification (SP)
|
100% |
394
526.4 IPS |
|
|
Text Classification (HP)
|
100% |
3889
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
7811
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
553
9.53 IPS |
|
|
Machine Translation (HP)
|
100% |
4220
72.7 IPS |
|
|
Machine Translation (Q)
|
56% |
2965
76.4 IPS |
