Samsung Galaxy S25
Geekbench AI Score
2624
Single Precision Score
2667
Half Precision Score
4478
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 01 2025 03:42 AM |
| Views | 5 |
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% |
1953
363.1 IPS |
|
|
Image Classification (HP)
|
100% |
1984
369.0 IPS |
|
|
Image Classification (Q)
|
100% |
4375
813.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2449
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5128
83.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5858
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
5311
6.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
9178
10.9 IPS |
|
|
Object Detection (SP)
|
98% |
1202
95.7 IPS |
|
|
Object Detection (HP)
|
98% |
1612
128.3 IPS |
|
|
Object Detection (Q)
|
83% |
3751
303.0 IPS |
|
|
Face Detection (SP)
|
100% |
4398
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
4441
52.8 IPS |
|
|
Face Detection (Q)
|
95% |
10016
119.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4926
38.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4517
34.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
7168
65.7 IPS |
|
|
Style Transfer (SP)
|
89% |
9250
12.0 IPS |
|
|
Style Transfer (HP)
|
89% |
11729
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25040
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1888
69.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1700
62.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4832
179.0 IPS |
|
|
Text Classification (SP)
|
100% |
838
1.12 KIPS |
|
|
Text Classification (HP)
|
99% |
942
1.26 KIPS |
|
|
Text Classification (Q)
|
88% |
1009
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1454
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1166
20.1 IPS |
|
|
Machine Translation (Q)
|
50% |
480
17.1 IPS |
