Samsung Galaxy S25
Geekbench AI Score
2787
Single Precision Score
2884
Half Precision Score
5238
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 06 2025 12:00 AM |
| Views | 5 |
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% |
1389
258.3 IPS |
|
|
Image Classification (HP)
|
100% |
1825
339.4 IPS |
|
|
Image Classification (Q)
|
100% |
4400
818.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2474
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2511
40.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5406
87.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5697
6.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
5697
6.65 IPS |
|
|
Pose Estimation (Q)
|
84% |
13790
16.4 IPS |
|
|
Object Detection (SP)
|
98% |
1751
139.3 IPS |
|
|
Object Detection (HP)
|
98% |
1768
140.7 IPS |
|
|
Object Detection (Q)
|
83% |
4163
336.3 IPS |
|
|
Face Detection (SP)
|
100% |
4521
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
4463
53.0 IPS |
|
|
Face Detection (Q)
|
95% |
9846
117.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4766
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4747
36.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
10867
99.5 IPS |
|
|
Style Transfer (SP)
|
89% |
11530
15.0 IPS |
|
|
Style Transfer (HP)
|
89% |
11922
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26264
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2495
92.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2464
91.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6827
253.0 IPS |
|
|
Text Classification (SP)
|
100% |
1007
1.34 KIPS |
|
|
Text Classification (HP)
|
99% |
1006
1.34 KIPS |
|
|
Text Classification (Q)
|
88% |
1050
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1323
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1378
23.7 IPS |
|
|
Machine Translation (Q)
|
50% |
566
20.1 IPS |
