Samsung Galaxy S25
Geekbench AI Score
2279
Single Precision Score
2383
Half Precision Score
3791
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 10 2026 05:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1763
327.9 IPS |
|
|
Image Classification (HP)
|
100% |
2110
392.3 IPS |
|
|
Image Classification (Q)
|
100% |
4455
828.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2450
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2386
38.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4953
80.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5014
5.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
4733
5.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
10057
11.9 IPS |
|
|
Object Detection (SP)
|
98% |
1008
80.2 IPS |
|
|
Object Detection (HP)
|
98% |
1071
85.2 IPS |
|
|
Object Detection (Q)
|
83% |
3040
245.6 IPS |
|
|
Face Detection (SP)
|
100% |
3321
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
3760
44.7 IPS |
|
|
Face Detection (Q)
|
95% |
8762
104.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4048
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3848
29.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
6294
57.6 IPS |
|
|
Style Transfer (SP)
|
89% |
8741
11.3 IPS |
|
|
Style Transfer (HP)
|
89% |
9486
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17664
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1566
57.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1694
62.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3162
117.2 IPS |
|
|
Text Classification (SP)
|
100% |
680
907.1 IPS |
|
|
Text Classification (HP)
|
99% |
791
1.06 KIPS |
|
|
Text Classification (Q)
|
88% |
906
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1386
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1263
21.8 IPS |
|
|
Machine Translation (Q)
|
50% |
326
11.6 IPS |
