Samsung Galaxy S25
Geekbench AI Score
2719
Single Precision Score
2773
Half Precision Score
3894
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 24 2025 09:43 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% |
1971
366.6 IPS |
|
|
Image Classification (HP)
|
100% |
2102
391.0 IPS |
|
|
Image Classification (Q)
|
100% |
4728
879.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2530
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2522
40.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5339
86.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5684
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
5412
6.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
12880
15.3 IPS |
|
|
Object Detection (SP)
|
98% |
1455
115.8 IPS |
|
|
Object Detection (HP)
|
98% |
1213
96.5 IPS |
|
|
Object Detection (Q)
|
83% |
2547
205.7 IPS |
|
|
Face Detection (SP)
|
100% |
3653
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
4398
52.3 IPS |
|
|
Face Detection (Q)
|
95% |
9446
112.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4817
37.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4764
36.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
10799
98.9 IPS |
|
|
Style Transfer (SP)
|
89% |
11781
15.3 IPS |
|
|
Style Transfer (HP)
|
89% |
12043
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
7021
9.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2088
77.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2449
90.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7025
260.3 IPS |
|
|
Text Classification (SP)
|
100% |
896
1.20 KIPS |
|
|
Text Classification (HP)
|
99% |
905
1.21 KIPS |
|
|
Text Classification (Q)
|
88% |
414
558.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1382
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1385
23.9 IPS |
|
|
Machine Translation (Q)
|
50% |
465
16.5 IPS |
