Samsung Galaxy S25
Geekbench AI Score
2335
Single Precision Score
3538
Half Precision Score
3026
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Zerogreat |
| Upload Date | July 16 2025 01:12 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1710
317.9 IPS |
|
|
Image Classification (HP)
|
100% |
2860
531.9 IPS |
|
|
Image Classification (Q)
|
100% |
3276
609.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3149
51.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4706
76.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5745
93.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11651
13.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
19981
23.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14551
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
990
78.5 IPS |
|
|
Object Detection (HP)
|
99% |
1158
91.9 IPS |
|
|
Object Detection (Q)
|
85% |
1193
96.0 IPS |
|
|
Face Detection (SP)
|
100% |
4891
58.1 IPS |
|
|
Face Detection (HP)
|
100% |
7980
94.8 IPS |
|
|
Face Detection (Q)
|
97% |
7107
84.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6001
46.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8266
63.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
6463
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13479
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29717
38.2 IPS |
|
|
Style Transfer (Q)
|
98% |
29748
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2970
109.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5033
185.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4564
169.1 IPS |
|
|
Text Classification (SP)
|
35% |
70
684.8 IPS |
|
|
Text Classification (HP)
|
35% |
72
658.4 IPS |
|
|
Text Classification (Q)
|
33% |
60
674.4 IPS |
|
|
Machine Translation (SP)
|
100% |
945
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1392
24.0 IPS |
|
|
Machine Translation (Q)
|
48% |
528
20.3 IPS |
