Samsung Galaxy S25
Geekbench AI Score
2538
Single Precision Score
2445
Half Precision Score
3918
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 15 2025 08:29 AM |
| Views | 1 |
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% |
2077
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
1914
356.0 IPS |
|
|
Image Classification (Q)
|
100% |
4299
799.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2479
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2475
40.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5362
87.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5170
6.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
4315
5.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
13264
15.7 IPS |
|
|
Object Detection (SP)
|
98% |
1623
129.2 IPS |
|
|
Object Detection (HP)
|
98% |
1343
106.9 IPS |
|
|
Object Detection (Q)
|
83% |
2288
184.8 IPS |
|
|
Face Detection (SP)
|
100% |
2782
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
4043
48.0 IPS |
|
|
Face Detection (Q)
|
95% |
8778
104.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4477
34.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4530
35.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
8028
73.5 IPS |
|
|
Style Transfer (SP)
|
89% |
9203
11.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9669
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
22115
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1993
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1789
66.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4578
169.6 IPS |
|
|
Text Classification (SP)
|
100% |
808
1.08 KIPS |
|
|
Text Classification (HP)
|
99% |
674
899.1 IPS |
|
|
Text Classification (Q)
|
88% |
591
796.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1396
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1304
22.5 IPS |
|
|
Machine Translation (Q)
|
50% |
289
10.3 IPS |
