Samsung Galaxy S25
Geekbench AI Score
2322
Single Precision Score
2242
Half Precision Score
3840
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 25 2025 03:56 PM |
| Views | 2 |
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% |
1690
314.3 IPS |
|
|
Image Classification (HP)
|
100% |
1925
358.0 IPS |
|
|
Image Classification (Q)
|
100% |
4275
795.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2362
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3404
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3783
4.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3762
4.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
9756
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
1069
85.1 IPS |
|
|
Object Detection (HP)
|
98% |
1042
82.9 IPS |
|
|
Object Detection (Q)
|
83% |
2864
231.4 IPS |
|
|
Face Detection (SP)
|
100% |
3860
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
4273
50.8 IPS |
|
|
Face Detection (Q)
|
95% |
8661
103.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4396
34.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3678
28.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
8218
75.3 IPS |
|
|
Style Transfer (SP)
|
89% |
9263
12.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9853
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20529
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1464
54.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1696
62.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4487
166.3 IPS |
|
|
Text Classification (SP)
|
100% |
891
1.19 KIPS |
|
|
Text Classification (HP)
|
99% |
778
1.04 KIPS |
|
|
Text Classification (Q)
|
88% |
576
776.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1377
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1286
22.1 IPS |
|
|
Machine Translation (Q)
|
50% |
455
16.2 IPS |
