samsung SM-S931B
Geekbench AI Score
602
Single Precision Score
27305
Half Precision Score
61085
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | jnpt |
| Upload Date | March 20 2025 08:43 PM |
| Views | 14 |
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% |
431
80.1 IPS |
|
|
Image Classification (HP)
|
100% |
21318
3.96 KIPS |
|
|
Image Classification (Q)
|
97% |
49097
9.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
538
8.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
13617
220.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
41578
676.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
629
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
119881
139.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
478349
559.9 IPS |
|
|
Object Detection (SP)
|
100% |
307
24.3 IPS |
|
|
Object Detection (HP)
|
100% |
19541
1.55 KIPS |
|
|
Object Detection (Q)
|
85% |
22547
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
924
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
42180
501.2 IPS |
|
|
Face Detection (Q)
|
97% |
144213
1.72 KIPS |
|
|
Depth Estimation (SP)
|
100% |
769
5.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
83495
643.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
142719
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
1213
1.56 IPS |
|
|
Style Transfer (HP)
|
98% |
98885
127.5 IPS |
|
|
Style Transfer (Q)
|
98% |
491132
633.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
401
14.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53679
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134945
5.00 KIPS |
|
|
Text Classification (SP)
|
100% |
460
613.7 IPS |
|
|
Text Classification (HP)
|
100% |
3905
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
7929
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
889
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4641
80.0 IPS |
|
|
Machine Translation (Q)
|
56% |
3038
78.3 IPS |
