Samsung Galaxy S25
Geekbench AI Score
613
Single Precision Score
27040
Half Precision Score
59855
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | AllieWolfie |
| Upload Date | August 14 2025 08:57 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
429
79.7 IPS |
|
|
Image Classification (HP)
|
100% |
21538
4.01 KIPS |
|
|
Image Classification (Q)
|
97% |
49204
9.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
545
8.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
13660
221.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
42175
685.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
711
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
123407
144.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
478949
560.6 IPS |
|
|
Object Detection (SP)
|
100% |
431
34.2 IPS |
|
|
Object Detection (HP)
|
100% |
19785
1.57 KIPS |
|
|
Object Detection (Q)
|
85% |
21948
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
790
9.39 IPS |
|
|
Face Detection (HP)
|
100% |
38052
452.1 IPS |
|
|
Face Detection (Q)
|
97% |
119570
1.43 KIPS |
|
|
Depth Estimation (SP)
|
100% |
559
4.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
83784
645.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
144407
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
1484
1.91 IPS |
|
|
Style Transfer (HP)
|
98% |
98328
126.8 IPS |
|
|
Style Transfer (Q)
|
98% |
488001
629.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
367
13.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53441
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134765
4.99 KIPS |
|
|
Text Classification (SP)
|
100% |
498
664.1 IPS |
|
|
Text Classification (HP)
|
100% |
3903
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
7972
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
880
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4450
76.6 IPS |
|
|
Machine Translation (Q)
|
56% |
2989
77.0 IPS |
