Samsung Galaxy S25
Geekbench AI Score
2555
Single Precision Score
2483
Half Precision Score
3879
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 19 2025 02:37 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-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% |
2146
399.0 IPS |
|
|
Image Classification (HP)
|
100% |
2168
403.2 IPS |
|
|
Image Classification (Q)
|
100% |
4649
864.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2503
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2513
40.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5420
88.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5436
6.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
4278
4.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
8977
10.6 IPS |
|
|
Object Detection (SP)
|
98% |
1589
126.4 IPS |
|
|
Object Detection (HP)
|
98% |
1333
106.0 IPS |
|
|
Object Detection (Q)
|
83% |
2323
187.6 IPS |
|
|
Face Detection (SP)
|
100% |
3769
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
3762
44.7 IPS |
|
|
Face Detection (Q)
|
95% |
8531
101.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4100
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4379
33.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
10795
98.9 IPS |
|
|
Style Transfer (SP)
|
89% |
9554
12.4 IPS |
|
|
Style Transfer (HP)
|
89% |
8252
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18217
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1884
69.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2010
74.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4539
168.2 IPS |
|
|
Text Classification (SP)
|
100% |
695
927.3 IPS |
|
|
Text Classification (HP)
|
99% |
790
1.06 KIPS |
|
|
Text Classification (Q)
|
88% |
554
747.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1326
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1331
22.9 IPS |
|
|
Machine Translation (Q)
|
50% |
348
12.4 IPS |
