Samsung Galaxy S25
Geekbench AI Score
1910
Single Precision Score
1881
Half Precision Score
3087
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 10 2026 05:21 PM |
| Views | 1 |
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% |
1311
243.8 IPS |
|
|
Image Classification (HP)
|
100% |
1589
295.5 IPS |
|
|
Image Classification (Q)
|
100% |
3503
651.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1821
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1829
29.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4065
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4192
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2988
3.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
8303
9.85 IPS |
|
|
Object Detection (SP)
|
98% |
969
77.1 IPS |
|
|
Object Detection (HP)
|
98% |
980
78.0 IPS |
|
|
Object Detection (Q)
|
83% |
2551
206.0 IPS |
|
|
Face Detection (SP)
|
100% |
3131
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
2966
35.2 IPS |
|
|
Face Detection (Q)
|
95% |
6544
78.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3120
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2977
23.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
6361
58.3 IPS |
|
|
Style Transfer (SP)
|
89% |
8614
11.2 IPS |
|
|
Style Transfer (HP)
|
89% |
6984
9.07 IPS |
|
|
Style Transfer (Q)
|
98% |
13764
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1382
51.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1548
57.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3510
130.1 IPS |
|
|
Text Classification (SP)
|
100% |
460
613.5 IPS |
|
|
Text Classification (HP)
|
99% |
644
860.2 IPS |
|
|
Text Classification (Q)
|
88% |
398
537.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (Q)
|
50% |
326
11.6 IPS |
