Samsung Galaxy S25
Geekbench AI Score
474
Single Precision Score
26469
Half Precision Score
58744
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | matus201 |
| Upload Date | September 06 2025 11:16 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S25 |
| Model ID | samsung SM-S931W |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
435
80.9 IPS |
|
|
Image Classification (HP)
|
100% |
20740
3.86 KIPS |
|
|
Image Classification (Q)
|
97% |
48035
8.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
548
8.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
13543
219.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
41769
679.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
560
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
123234
143.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
476665
557.9 IPS |
|
|
Object Detection (SP)
|
100% |
289
23.0 IPS |
|
|
Object Detection (HP)
|
100% |
17950
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
20566
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
568
6.74 IPS |
|
|
Face Detection (HP)
|
100% |
40061
476.0 IPS |
|
|
Face Detection (Q)
|
97% |
131394
1.57 KIPS |
|
|
Depth Estimation (SP)
|
100% |
619
4.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
82479
635.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
140189
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
968
1.24 IPS |
|
|
Style Transfer (HP)
|
98% |
98336
126.8 IPS |
|
|
Style Transfer (Q)
|
98% |
488428
629.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
252
9.30 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52260
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
126981
4.71 KIPS |
|
|
Text Classification (SP)
|
100% |
316
421.1 IPS |
|
|
Text Classification (HP)
|
100% |
3852
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
7759
10.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
551
9.50 IPS |
|
|
Machine Translation (HP)
|
100% |
4154
71.6 IPS |
|
|
Machine Translation (Q)
|
56% |
2807
72.3 IPS |
