Samsung Galaxy S25
Geekbench AI Score
2739
Single Precision Score
2738
Half Precision Score
4791
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | cj1171 |
| Upload Date | November 04 2025 03:31 PM |
| Views | 8 |
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-S931U1 |
| 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% |
1952
362.9 IPS |
|
|
Image Classification (HP)
|
100% |
2069
384.7 IPS |
|
|
Image Classification (Q)
|
100% |
4703
874.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2385
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2465
40.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4734
77.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5493
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
4893
5.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
11640
13.8 IPS |
|
|
Object Detection (SP)
|
98% |
1578
125.6 IPS |
|
|
Object Detection (HP)
|
98% |
1575
125.3 IPS |
|
|
Object Detection (Q)
|
83% |
3454
279.0 IPS |
|
|
Face Detection (SP)
|
100% |
4207
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
4231
50.3 IPS |
|
|
Face Detection (Q)
|
95% |
9555
114.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4638
35.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4560
35.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
10139
92.9 IPS |
|
|
Style Transfer (SP)
|
89% |
10989
14.3 IPS |
|
|
Style Transfer (HP)
|
89% |
11056
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21076
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2154
79.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2301
85.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6665
247.0 IPS |
|
|
Text Classification (SP)
|
100% |
978
1.31 KIPS |
|
|
Text Classification (HP)
|
99% |
958
1.28 KIPS |
|
|
Text Classification (Q)
|
88% |
1016
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1304
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1282
22.1 IPS |
|
|
Machine Translation (Q)
|
50% |
515
18.3 IPS |
