Samsung Galaxy S25
Geekbench AI Score
2425
Single Precision Score
2442
Half Precision Score
4023
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 20 2025 05:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1816
337.7 IPS |
|
|
Image Classification (HP)
|
100% |
2052
381.6 IPS |
|
|
Image Classification (Q)
|
100% |
4548
845.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2414
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5172
84.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5155
6.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
4055
4.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
9588
11.4 IPS |
|
|
Object Detection (SP)
|
98% |
1087
86.5 IPS |
|
|
Object Detection (HP)
|
98% |
1083
86.2 IPS |
|
|
Object Detection (Q)
|
83% |
2892
233.6 IPS |
|
|
Face Detection (SP)
|
100% |
3748
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
4011
47.7 IPS |
|
|
Face Detection (Q)
|
95% |
8790
104.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4543
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4504
34.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
9258
84.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8586
11.1 IPS |
|
|
Style Transfer (HP)
|
89% |
9338
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17438
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1897
70.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1900
70.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5137
190.3 IPS |
|
|
Text Classification (SP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (HP)
|
99% |
793
1.06 KIPS |
|
|
Text Classification (Q)
|
88% |
619
834.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1366
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1359
23.4 IPS |
|
|
Machine Translation (Q)
|
50% |
378
13.4 IPS |
