Samsung Galaxy S25
Geekbench AI Score
526
Single Precision Score
509
Half Precision Score
1035
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Ncard00 |
| Upload Date | September 18 2025 08:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S25 |
| 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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
415
77.2 IPS |
|
|
Image Classification (HP)
|
100% |
420
78.1 IPS |
|
|
Image Classification (Q)
|
99% |
428
79.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
400
6.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
402
6.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
754
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
532
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
487
0.57 IPS |
|
|
Pose Estimation (Q)
|
98% |
1956
2.29 IPS |
|
|
Object Detection (SP)
|
100% |
283
22.4 IPS |
|
|
Object Detection (HP)
|
100% |
283
22.5 IPS |
|
|
Object Detection (Q)
|
87% |
745
59.8 IPS |
|
|
Face Detection (SP)
|
100% |
745
8.85 IPS |
|
|
Face Detection (HP)
|
100% |
746
8.86 IPS |
|
|
Face Detection (Q)
|
97% |
1685
20.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
659
5.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
563
4.34 IPS |
|
|
Depth Estimation (Q)
|
64% |
1297
11.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1027
1.32 IPS |
|
|
Style Transfer (HP)
|
100% |
1112
1.43 IPS |
|
|
Style Transfer (Q)
|
98% |
2782
3.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
340
12.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
340
12.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1205
44.7 IPS |
|
|
Text Classification (SP)
|
100% |
435
580.6 IPS |
|
|
Text Classification (HP)
|
100% |
435
580.7 IPS |
|
|
Text Classification (Q)
|
91% |
829
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
880
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (Q)
|
57% |
498
12.2 IPS |
