Samsung Galaxy S25
Geekbench AI Score
371
Single Precision Score
362
Half Precision Score
729
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | sageriramadhan |
| Upload Date | November 15 2025 11:50 PM |
| Views | 6 |
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% |
328
60.9 IPS |
|
|
Image Classification (HP)
|
100% |
307
57.1 IPS |
|
|
Image Classification (Q)
|
99% |
418
78.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
317
5.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
317
5.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
598
9.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
420
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
332
0.39 IPS |
|
|
Pose Estimation (Q)
|
98% |
1399
1.64 IPS |
|
|
Object Detection (SP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (Q)
|
87% |
556
44.6 IPS |
|
|
Face Detection (SP)
|
100% |
568
6.74 IPS |
|
|
Face Detection (HP)
|
100% |
569
6.76 IPS |
|
|
Face Detection (Q)
|
97% |
1076
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
435
3.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
435
3.35 IPS |
|
|
Depth Estimation (Q)
|
64% |
887
8.05 IPS |
|
|
Style Transfer (SP)
|
100% |
778
1.00 IPS |
|
|
Style Transfer (HP)
|
100% |
782
1.01 IPS |
|
|
Style Transfer (Q)
|
98% |
2029
2.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
213
7.88 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
220
8.12 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
761
28.2 IPS |
|
|
Text Classification (SP)
|
100% |
277
369.7 IPS |
|
|
Text Classification (HP)
|
100% |
277
370.0 IPS |
|
|
Text Classification (Q)
|
91% |
426
572.8 IPS |
|
|
Machine Translation (SP)
|
100% |
482
8.31 IPS |
|
|
Machine Translation (HP)
|
100% |
484
8.33 IPS |
|
|
Machine Translation (Q)
|
57% |
350
8.56 IPS |
