Samsung Galaxy S25
Geekbench AI Score
440
Single Precision Score
447
Half Precision Score
948
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 09 2025 09:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
373
69.4 IPS |
|
|
Image Classification (HP)
|
100% |
356
66.2 IPS |
|
|
Image Classification (Q)
|
99% |
867
161.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
321
5.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
379
6.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
724
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
470
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
453
0.53 IPS |
|
|
Pose Estimation (Q)
|
98% |
1827
2.14 IPS |
|
|
Object Detection (SP)
|
100% |
265
21.0 IPS |
|
|
Object Detection (HP)
|
100% |
267
21.1 IPS |
|
|
Object Detection (Q)
|
87% |
691
55.4 IPS |
|
|
Face Detection (SP)
|
100% |
652
7.75 IPS |
|
|
Face Detection (HP)
|
100% |
578
6.87 IPS |
|
|
Face Detection (Q)
|
97% |
1249
14.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
565
4.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
563
4.34 IPS |
|
|
Depth Estimation (Q)
|
64% |
1038
9.42 IPS |
|
|
Style Transfer (SP)
|
100% |
902
1.16 IPS |
|
|
Style Transfer (HP)
|
100% |
903
1.16 IPS |
|
|
Style Transfer (Q)
|
98% |
2329
3.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
244
9.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1020
37.8 IPS |
|
|
Text Classification (SP)
|
100% |
368
491.8 IPS |
|
|
Text Classification (HP)
|
100% |
369
492.2 IPS |
|
|
Text Classification (Q)
|
91% |
567
761.7 IPS |
|
|
Machine Translation (SP)
|
100% |
621
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
628
10.8 IPS |
|
|
Machine Translation (Q)
|
57% |
426
10.4 IPS |
