Samsung Galaxy S25
Geekbench AI Score
2233
Single Precision Score
3397
Half Precision Score
2895
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | AllieWolfie |
| Upload Date | August 14 2025 08:41 AM |
| Views | 22 |
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% |
1641
305.1 IPS |
|
|
Image Classification (HP)
|
100% |
2614
486.1 IPS |
|
|
Image Classification (Q)
|
100% |
2711
504.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3766
61.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7361
119.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5479
89.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13759
16.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
24150
28.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24212
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
99% |
1026
81.4 IPS |
|
|
Object Detection (Q)
|
85% |
1051
84.6 IPS |
|
|
Face Detection (SP)
|
100% |
2863
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
4870
57.9 IPS |
|
|
Face Detection (Q)
|
97% |
4628
55.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3887
29.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9567
73.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
7411
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17377
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36527
47.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24674
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2562
94.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4079
150.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3989
147.8 IPS |
|
|
Text Classification (SP)
|
35% |
47
462.4 IPS |
|
|
Text Classification (HP)
|
35% |
48
436.4 IPS |
|
|
Text Classification (Q)
|
33% |
68
762.9 IPS |
|
|
Machine Translation (SP)
|
100% |
996
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (Q)
|
48% |
477
18.3 IPS |
