Samsung Galaxy S25
Geekbench AI Score
535
Single Precision Score
534
Half Precision Score
1107
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 02:41 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
432
80.3 IPS |
|
|
Image Classification (HP)
|
100% |
424
78.8 IPS |
|
|
Image Classification (Q)
|
99% |
1081
201.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
371
6.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
367
5.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
449
7.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
508
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
507
0.59 IPS |
|
|
Pose Estimation (Q)
|
98% |
2010
2.35 IPS |
|
|
Object Detection (SP)
|
100% |
302
24.0 IPS |
|
|
Object Detection (HP)
|
100% |
303
24.0 IPS |
|
|
Object Detection (Q)
|
87% |
777
62.3 IPS |
|
|
Face Detection (SP)
|
100% |
764
9.08 IPS |
|
|
Face Detection (HP)
|
100% |
791
9.40 IPS |
|
|
Face Detection (Q)
|
97% |
1681
20.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
654
5.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
608
4.68 IPS |
|
|
Depth Estimation (Q)
|
64% |
1377
12.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1176
1.51 IPS |
|
|
Style Transfer (HP)
|
100% |
1103
1.42 IPS |
|
|
Style Transfer (Q)
|
98% |
2904
3.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
330
12.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
364
13.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1284
47.6 IPS |
|
|
Text Classification (SP)
|
100% |
462
616.8 IPS |
|
|
Text Classification (HP)
|
100% |
466
622.4 IPS |
|
|
Text Classification (Q)
|
91% |
717
964.1 IPS |
|
|
Machine Translation (SP)
|
100% |
883
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
885
15.2 IPS |
|
|
Machine Translation (Q)
|
57% |
592
14.5 IPS |
