Samsung Galaxy S25
Geekbench AI Score
2396
Single Precision Score
2454
Half Precision Score
3984
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 01 2025 03:45 AM |
| Views | 3 |
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% |
1997
371.5 IPS |
|
|
Image Classification (HP)
|
100% |
1979
368.1 IPS |
|
|
Image Classification (Q)
|
100% |
4349
808.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2452
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2438
39.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5053
82.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3916
4.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
4424
5.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
9708
11.5 IPS |
|
|
Object Detection (SP)
|
98% |
1204
95.8 IPS |
|
|
Object Detection (HP)
|
98% |
1094
87.0 IPS |
|
|
Object Detection (Q)
|
83% |
2802
226.4 IPS |
|
|
Face Detection (SP)
|
100% |
3685
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
4410
52.4 IPS |
|
|
Face Detection (Q)
|
95% |
8875
106.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4230
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4365
33.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
8041
73.6 IPS |
|
|
Style Transfer (SP)
|
89% |
8882
11.5 IPS |
|
|
Style Transfer (HP)
|
89% |
9297
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
19010
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1744
64.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1866
68.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4817
178.5 IPS |
|
|
Text Classification (SP)
|
100% |
804
1.07 KIPS |
|
|
Text Classification (HP)
|
99% |
790
1.05 KIPS |
|
|
Text Classification (Q)
|
88% |
642
866.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1395
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1287
22.2 IPS |
|
|
Machine Translation (Q)
|
50% |
402
14.3 IPS |
