Samsung Galaxy S25
Geekbench AI Score
2669
Single Precision Score
2605
Half Precision Score
4400
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 20 2025 06:50 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2119
394.1 IPS |
|
|
Image Classification (HP)
|
100% |
2061
383.4 IPS |
|
|
Image Classification (Q)
|
100% |
4474
832.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2420
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5440
88.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5502
6.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
4484
5.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
12310
14.6 IPS |
|
|
Object Detection (SP)
|
98% |
1604
127.6 IPS |
|
|
Object Detection (HP)
|
98% |
1601
127.4 IPS |
|
|
Object Detection (Q)
|
83% |
3032
244.9 IPS |
|
|
Face Detection (SP)
|
100% |
4324
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
4333
51.5 IPS |
|
|
Face Detection (Q)
|
95% |
8782
104.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4541
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4542
35.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
9607
88.0 IPS |
|
|
Style Transfer (SP)
|
89% |
10271
13.3 IPS |
|
|
Style Transfer (HP)
|
89% |
10010
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
21947
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1701
62.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1959
72.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6386
236.6 IPS |
|
|
Text Classification (SP)
|
100% |
838
1.12 KIPS |
|
|
Text Classification (HP)
|
99% |
746
995.5 IPS |
|
|
Text Classification (Q)
|
88% |
649
875.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1415
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1375
23.7 IPS |
|
|
Machine Translation (Q)
|
50% |
391
13.9 IPS |
