Samsung Galaxy S25
Geekbench AI Score
1890
Single Precision Score
2939
Half Precision Score
2646
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 01 2025 03:48 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1328
247.0 IPS |
|
|
Image Classification (HP)
|
100% |
1995
371.1 IPS |
|
|
Image Classification (Q)
|
100% |
2239
416.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2544
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3547
57.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3974
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9233
10.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
16520
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16183
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
779
61.8 IPS |
|
|
Object Detection (HP)
|
99% |
1106
87.7 IPS |
|
|
Object Detection (Q)
|
85% |
1220
98.2 IPS |
|
|
Face Detection (SP)
|
100% |
3441
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
6729
80.0 IPS |
|
|
Face Detection (Q)
|
97% |
6040
72.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4682
36.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
7395
57.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
5749
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12969
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25572
32.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25208
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2563
94.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4142
153.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4009
148.6 IPS |
|
|
Text Classification (SP)
|
35% |
56
550.0 IPS |
|
|
Text Classification (HP)
|
35% |
56
505.6 IPS |
|
|
Text Classification (Q)
|
33% |
53
596.1 IPS |
|
|
Machine Translation (SP)
|
100% |
801
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1263
21.8 IPS |
|
|
Machine Translation (Q)
|
48% |
516
19.8 IPS |
