Samsung Galaxy S25
Geekbench AI Score
715
Single Precision Score
713
Half Precision Score
1581
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 02 2025 10:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
436
81.1 IPS |
|
|
Image Classification (HP)
|
100% |
430
80.0 IPS |
|
|
Image Classification (Q)
|
99% |
1088
202.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
548
8.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
552
8.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
1107
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
733
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
719
0.84 IPS |
|
|
Pose Estimation (Q)
|
98% |
2978
3.49 IPS |
|
|
Object Detection (SP)
|
100% |
402
31.9 IPS |
|
|
Object Detection (HP)
|
100% |
409
32.4 IPS |
|
|
Object Detection (Q)
|
87% |
993
79.7 IPS |
|
|
Face Detection (SP)
|
100% |
1004
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
997
11.8 IPS |
|
|
Face Detection (Q)
|
97% |
2394
28.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
901
6.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
898
6.92 IPS |
|
|
Depth Estimation (Q)
|
64% |
1960
17.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1563
2.01 IPS |
|
|
Style Transfer (HP)
|
100% |
1557
2.00 IPS |
|
|
Style Transfer (Q)
|
98% |
4499
5.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
507
18.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
504
18.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1850
68.5 IPS |
|
|
Text Classification (SP)
|
100% |
678
905.5 IPS |
|
|
Text Classification (HP)
|
100% |
687
917.1 IPS |
|
|
Text Classification (Q)
|
91% |
1088
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1028
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (Q)
|
57% |
647
15.8 IPS |
