Samsung Galaxy S25
Geekbench AI Score
410
Single Precision Score
405
Half Precision Score
860
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 10 2026 05:09 PM |
| Views | 1 |
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% |
206
38.3 IPS |
|
|
Image Classification (HP)
|
100% |
192
35.6 IPS |
|
|
Image Classification (Q)
|
99% |
427
79.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
232
3.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
247
4.01 IPS |
|
|
Image Segmentation (Q)
|
98% |
531
8.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
373
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
418
0.49 IPS |
|
|
Pose Estimation (Q)
|
98% |
1686
1.97 IPS |
|
|
Object Detection (SP)
|
100% |
239
19.0 IPS |
|
|
Object Detection (HP)
|
100% |
262
20.8 IPS |
|
|
Object Detection (Q)
|
87% |
618
49.6 IPS |
|
|
Face Detection (SP)
|
100% |
702
8.34 IPS |
|
|
Face Detection (HP)
|
100% |
700
8.31 IPS |
|
|
Face Detection (Q)
|
97% |
1233
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
543
4.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
557
4.29 IPS |
|
|
Depth Estimation (Q)
|
64% |
1203
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
987
1.27 IPS |
|
|
Style Transfer (HP)
|
100% |
890
1.14 IPS |
|
|
Style Transfer (Q)
|
98% |
2373
3.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
284
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
307
11.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1087
40.3 IPS |
|
|
Text Classification (SP)
|
100% |
398
531.4 IPS |
|
|
Text Classification (HP)
|
100% |
398
530.6 IPS |
|
|
Text Classification (Q)
|
91% |
616
827.8 IPS |
|
|
Machine Translation (SP)
|
100% |
758
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
546
9.40 IPS |
|
|
Machine Translation (Q)
|
57% |
399
9.74 IPS |
