Samsung Galaxy S25
Geekbench AI Score
2602
Single Precision Score
2601
Half Precision Score
4566
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | TheChocolateGamer |
| Upload Date | November 04 2025 10:40 AM |
| Views | 12 |
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% |
1944
361.5 IPS |
|
|
Image Classification (HP)
|
100% |
1918
356.6 IPS |
|
|
Image Classification (Q)
|
100% |
4371
812.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2420
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2387
38.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5297
86.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5351
6.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
4853
5.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
11105
13.2 IPS |
|
|
Object Detection (SP)
|
98% |
1243
98.9 IPS |
|
|
Object Detection (HP)
|
98% |
1324
105.4 IPS |
|
|
Object Detection (Q)
|
83% |
3255
262.9 IPS |
|
|
Face Detection (SP)
|
100% |
4060
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
4267
50.7 IPS |
|
|
Face Detection (Q)
|
95% |
9890
118.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4506
34.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4383
33.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
7918
72.5 IPS |
|
|
Style Transfer (SP)
|
89% |
10549
13.7 IPS |
|
|
Style Transfer (HP)
|
89% |
11471
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23636
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1871
69.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2020
74.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5135
190.3 IPS |
|
|
Text Classification (SP)
|
100% |
939
1.25 KIPS |
|
|
Text Classification (HP)
|
99% |
966
1.29 KIPS |
|
|
Text Classification (Q)
|
88% |
1067
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1342
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1153
19.9 IPS |
|
|
Machine Translation (Q)
|
50% |
465
16.5 IPS |
