Samsung Galaxy S25
Geekbench AI Score
2833
Single Precision Score
2818
Half Precision Score
5175
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 14 2025 08:20 AM |
| Views | 6 |
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% |
2063
383.7 IPS |
|
|
Image Classification (HP)
|
100% |
2053
381.7 IPS |
|
|
Image Classification (Q)
|
100% |
4451
827.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2469
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2472
40.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5403
87.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5427
6.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
5492
6.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
13704
16.3 IPS |
|
|
Object Detection (SP)
|
98% |
1720
136.9 IPS |
|
|
Object Detection (HP)
|
98% |
1739
138.4 IPS |
|
|
Object Detection (Q)
|
83% |
4077
329.4 IPS |
|
|
Face Detection (SP)
|
100% |
4383
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
4454
52.9 IPS |
|
|
Face Detection (Q)
|
95% |
9647
115.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4542
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4643
35.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
10512
96.3 IPS |
|
|
Style Transfer (SP)
|
89% |
11501
14.9 IPS |
|
|
Style Transfer (HP)
|
89% |
11546
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25016
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2243
82.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2099
77.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6687
247.8 IPS |
|
|
Text Classification (SP)
|
100% |
976
1.30 KIPS |
|
|
Text Classification (HP)
|
99% |
968
1.29 KIPS |
|
|
Text Classification (Q)
|
88% |
1110
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1400
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1347
23.2 IPS |
|
|
Machine Translation (Q)
|
50% |
545
19.3 IPS |
