Samsung Galaxy S25
Geekbench AI Score
724
Single Precision Score
27712
Half Precision Score
62771
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 02 2025 10:32 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
461
85.8 IPS |
|
|
Image Classification (HP)
|
100% |
21176
3.94 KIPS |
|
|
Image Classification (Q)
|
97% |
50272
9.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
576
9.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
13683
221.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
42579
692.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
686
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
121682
142.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
481331
563.4 IPS |
|
|
Object Detection (SP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (HP)
|
100% |
19550
1.55 KIPS |
|
|
Object Detection (Q)
|
85% |
22447
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
1067
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
44009
522.9 IPS |
|
|
Face Detection (Q)
|
97% |
158745
1.89 KIPS |
|
|
Depth Estimation (SP)
|
100% |
949
7.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
84214
648.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
145088
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
1568
2.02 IPS |
|
|
Style Transfer (HP)
|
98% |
99146
127.8 IPS |
|
|
Style Transfer (Q)
|
98% |
497255
641.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55710
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
137033
5.08 KIPS |
|
|
Text Classification (SP)
|
100% |
680
908.3 IPS |
|
|
Text Classification (HP)
|
100% |
3971
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
8255
11.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4768
82.1 IPS |
|
|
Machine Translation (Q)
|
56% |
3170
81.7 IPS |
