Samsung Galaxy S25
Geekbench AI Score
2690
Single Precision Score
2777
Half Precision Score
4661
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Q0AL |
| Upload Date | November 02 2025 06:19 PM |
| Views | 9 |
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-S931U |
| 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% |
2029
377.4 IPS |
|
|
Image Classification (HP)
|
100% |
1999
371.8 IPS |
|
|
Image Classification (Q)
|
100% |
4459
829.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2381
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2428
39.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5253
85.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5582
6.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
5298
6.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
13527
16.0 IPS |
|
|
Object Detection (SP)
|
98% |
1570
124.9 IPS |
|
|
Object Detection (HP)
|
98% |
1742
138.6 IPS |
|
|
Object Detection (Q)
|
83% |
4066
328.4 IPS |
|
|
Face Detection (SP)
|
100% |
4393
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
4440
52.8 IPS |
|
|
Face Detection (Q)
|
95% |
9516
113.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4601
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4673
36.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
10853
99.4 IPS |
|
|
Style Transfer (SP)
|
89% |
11776
15.3 IPS |
|
|
Style Transfer (HP)
|
89% |
11227
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25336
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2341
86.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2263
83.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5246
194.4 IPS |
|
|
Text Classification (SP)
|
100% |
605
807.1 IPS |
|
|
Text Classification (HP)
|
99% |
854
1.14 KIPS |
|
|
Text Classification (Q)
|
88% |
548
739.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1393
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1353
23.3 IPS |
|
|
Machine Translation (Q)
|
50% |
500
17.7 IPS |
