Samsung Galaxy S25
Geekbench AI Score
2557
Single Precision Score
2421
Half Precision Score
3422
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 10 2025 08:53 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1995
371.0 IPS |
|
|
Image Classification (HP)
|
100% |
1934
359.7 IPS |
|
|
Image Classification (Q)
|
100% |
4691
872.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2478
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
894
14.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5407
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
3735
4.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
11589
13.7 IPS |
|
|
Object Detection (SP)
|
98% |
1559
124.0 IPS |
|
|
Object Detection (HP)
|
98% |
1408
112.0 IPS |
|
|
Object Detection (Q)
|
83% |
2496
201.7 IPS |
|
|
Face Detection (SP)
|
100% |
3420
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
3506
41.7 IPS |
|
|
Face Detection (Q)
|
95% |
8731
104.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4030
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4563
35.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
10891
99.8 IPS |
|
|
Style Transfer (SP)
|
89% |
9221
12.0 IPS |
|
|
Style Transfer (HP)
|
89% |
7773
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17046
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1887
69.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2190
80.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5155
191.0 IPS |
|
|
Text Classification (SP)
|
100% |
876
1.17 KIPS |
|
|
Text Classification (HP)
|
99% |
801
1.07 KIPS |
|
|
Text Classification (Q)
|
88% |
604
814.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1368
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1340
23.1 IPS |
|
|
Machine Translation (Q)
|
50% |
360
12.8 IPS |
