Samsung Galaxy S25
Geekbench AI Score
1513
Single Precision Score
2393
Half Precision Score
2075
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | sageriramadhan |
| Upload Date | November 15 2025 11:37 PM |
| Views | 5 |
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% |
1376
255.8 IPS |
|
|
Image Classification (HP)
|
100% |
1850
344.0 IPS |
|
|
Image Classification (Q)
|
100% |
2363
439.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2542
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4640
75.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4485
72.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10198
11.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
19239
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
18433
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
700
55.5 IPS |
|
|
Object Detection (HP)
|
99% |
925
73.3 IPS |
|
|
Object Detection (Q)
|
85% |
882
71.0 IPS |
|
|
Face Detection (SP)
|
100% |
2761
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
4805
57.1 IPS |
|
|
Face Detection (Q)
|
97% |
4117
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2788
21.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
7394
57.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
5738
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12960
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15292
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
15161
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1545
57.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2442
90.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2452
90.9 IPS |
|
|
Text Classification (SP)
|
35% |
33
318.6 IPS |
|
|
Text Classification (HP)
|
35% |
37
337.0 IPS |
|
|
Text Classification (Q)
|
33% |
26
295.0 IPS |
|
|
Machine Translation (SP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (HP)
|
100% |
823
14.2 IPS |
|
|
Machine Translation (Q)
|
48% |
377
14.5 IPS |
