Samsung Galaxy S25
Geekbench AI Score
2818
Single Precision Score
2850
Half Precision Score
5033
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2025 10:37 AM |
| Views | 6 |
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% |
2139
397.8 IPS |
|
|
Image Classification (HP)
|
100% |
2124
394.9 IPS |
|
|
Image Classification (Q)
|
100% |
4621
859.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2505
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2609
42.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5789
94.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5513
6.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
5356
6.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
13148
15.6 IPS |
|
|
Object Detection (SP)
|
98% |
1709
136.0 IPS |
|
|
Object Detection (HP)
|
98% |
1769
140.8 IPS |
|
|
Object Detection (Q)
|
83% |
4073
329.0 IPS |
|
|
Face Detection (SP)
|
100% |
4482
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
4481
53.2 IPS |
|
|
Face Detection (Q)
|
95% |
9482
113.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4738
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4668
36.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
10802
98.9 IPS |
|
|
Style Transfer (SP)
|
89% |
11152
14.5 IPS |
|
|
Style Transfer (HP)
|
89% |
11439
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20821
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1963
72.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2192
81.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6624
245.4 IPS |
|
|
Text Classification (SP)
|
100% |
968
1.29 KIPS |
|
|
Text Classification (HP)
|
99% |
962
1.28 KIPS |
|
|
Text Classification (Q)
|
88% |
1032
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1393
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1335
23.0 IPS |
|
|
Machine Translation (Q)
|
50% |
500
17.8 IPS |
