Samsung Galaxy S25
Geekbench AI Score
547
Single Precision Score
561
Half Precision Score
1152
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 17 2025 12:06 AM |
| Views | 12 |
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% |
425
79.0 IPS |
|
|
Image Classification (HP)
|
100% |
416
77.4 IPS |
|
|
Image Classification (Q)
|
99% |
1068
199.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
482
7.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
961
15.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
568
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
557
0.65 IPS |
|
|
Pose Estimation (Q)
|
98% |
1978
2.32 IPS |
|
|
Object Detection (SP)
|
100% |
335
26.6 IPS |
|
|
Object Detection (HP)
|
100% |
325
25.8 IPS |
|
|
Object Detection (Q)
|
87% |
691
55.5 IPS |
|
|
Face Detection (SP)
|
100% |
799
9.49 IPS |
|
|
Face Detection (HP)
|
100% |
765
9.09 IPS |
|
|
Face Detection (Q)
|
97% |
1689
20.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
655
5.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
656
5.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
1407
12.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1148
1.48 IPS |
|
|
Style Transfer (HP)
|
100% |
1103
1.42 IPS |
|
|
Style Transfer (Q)
|
98% |
2977
3.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
364
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
362
13.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1269
47.0 IPS |
|
|
Text Classification (SP)
|
100% |
467
622.9 IPS |
|
|
Text Classification (HP)
|
100% |
467
623.3 IPS |
|
|
Text Classification (Q)
|
91% |
719
966.3 IPS |
|
|
Machine Translation (SP)
|
100% |
931
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
921
15.9 IPS |
|
|
Machine Translation (Q)
|
57% |
457
11.2 IPS |
