Samsung Galaxy S25
Geekbench AI Score
2579
Single Precision Score
2584
Half Precision Score
4070
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 01:33 PM |
| 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% |
2044
380.1 IPS |
|
|
Image Classification (HP)
|
100% |
2090
388.7 IPS |
|
|
Image Classification (Q)
|
100% |
4540
844.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2541
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5222
84.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5229
6.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
4819
5.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
7197
8.54 IPS |
|
|
Object Detection (SP)
|
98% |
1062
84.5 IPS |
|
|
Object Detection (HP)
|
98% |
1303
103.7 IPS |
|
|
Object Detection (Q)
|
83% |
3690
298.0 IPS |
|
|
Face Detection (SP)
|
100% |
3817
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
4306
51.2 IPS |
|
|
Face Detection (Q)
|
95% |
9807
117.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4721
36.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4576
35.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
8791
80.5 IPS |
|
|
Style Transfer (SP)
|
89% |
10425
13.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8439
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18073
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1877
69.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2304
85.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5236
194.0 IPS |
|
|
Text Classification (SP)
|
100% |
914
1.22 KIPS |
|
|
Text Classification (HP)
|
99% |
829
1.11 KIPS |
|
|
Text Classification (Q)
|
88% |
575
775.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1402
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1344
23.2 IPS |
|
|
Machine Translation (Q)
|
50% |
423
15.0 IPS |
