Samsung Galaxy S25
Geekbench AI Score
2643
Single Precision Score
2490
Half Precision Score
4793
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 18 2025 01:25 PM |
| Views | 3 |
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% |
2093
389.1 IPS |
|
|
Image Classification (HP)
|
100% |
930
173.0 IPS |
|
|
Image Classification (Q)
|
100% |
4558
847.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2535
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2500
40.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5238
85.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5411
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
5258
6.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
13675
16.2 IPS |
|
|
Object Detection (SP)
|
98% |
1588
126.4 IPS |
|
|
Object Detection (HP)
|
98% |
1576
125.4 IPS |
|
|
Object Detection (Q)
|
83% |
3635
293.6 IPS |
|
|
Face Detection (SP)
|
100% |
4442
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
4383
52.1 IPS |
|
|
Face Detection (Q)
|
95% |
9795
116.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4517
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4392
33.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
11188
102.5 IPS |
|
|
Style Transfer (SP)
|
89% |
11236
14.6 IPS |
|
|
Style Transfer (HP)
|
89% |
11129
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19804
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1684
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2029
74.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5292
196.1 IPS |
|
|
Text Classification (SP)
|
100% |
747
996.6 IPS |
|
|
Text Classification (HP)
|
99% |
966
1.29 KIPS |
|
|
Text Classification (Q)
|
88% |
1033
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1290
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1137
19.6 IPS |
|
|
Machine Translation (Q)
|
50% |
455
16.2 IPS |
