Samsung Galaxy S25
Geekbench AI Score
1460
Single Precision Score
2376
Half Precision Score
2008
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 25 2025 04:03 PM |
| Views | 1 |
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% |
717
133.4 IPS |
|
|
Image Classification (HP)
|
100% |
2230
414.7 IPS |
|
|
Image Classification (Q)
|
100% |
2131
396.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3004
48.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3876
62.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3499
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10228
11.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
18398
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17918
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
687
54.5 IPS |
|
|
Object Detection (HP)
|
99% |
923
73.2 IPS |
|
|
Object Detection (Q)
|
85% |
1007
81.1 IPS |
|
|
Face Detection (SP)
|
100% |
3259
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
5329
63.3 IPS |
|
|
Face Detection (Q)
|
97% |
4763
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2795
21.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
7362
56.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
5737
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12951
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
15277
19.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15113
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1548
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2448
90.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2393
88.7 IPS |
|
|
Text Classification (SP)
|
35% |
34
328.8 IPS |
|
|
Text Classification (HP)
|
35% |
35
316.5 IPS |
|
|
Text Classification (Q)
|
33% |
25
282.0 IPS |
|
|
Machine Translation (SP)
|
100% |
470
8.10 IPS |
|
|
Machine Translation (HP)
|
100% |
761
13.1 IPS |
|
|
Machine Translation (Q)
|
48% |
322
12.4 IPS |
