Samsung Galaxy S25
Geekbench AI Score
2367
Single Precision Score
2517
Half Precision Score
3844
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 09:25 PM |
| Views | 3 |
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% |
1916
356.4 IPS |
|
|
Image Classification (HP)
|
100% |
1958
364.2 IPS |
|
|
Image Classification (Q)
|
100% |
4535
843.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2404
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4969
80.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5045
5.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
5007
5.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
7761
9.20 IPS |
|
|
Object Detection (SP)
|
98% |
1305
103.8 IPS |
|
|
Object Detection (HP)
|
98% |
1376
109.5 IPS |
|
|
Object Detection (Q)
|
83% |
3454
279.0 IPS |
|
|
Face Detection (SP)
|
100% |
4090
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
4297
51.1 IPS |
|
|
Face Detection (Q)
|
95% |
9270
110.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4299
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4306
33.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
7624
69.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8295
10.8 IPS |
|
|
Style Transfer (HP)
|
89% |
10326
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19058
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1540
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1592
58.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4453
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
621
828.7 IPS |
|
|
Text Classification (HP)
|
99% |
858
1.15 KIPS |
|
|
Text Classification (Q)
|
88% |
567
764.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1307
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1257
21.7 IPS |
|
|
Machine Translation (Q)
|
50% |
343
12.2 IPS |
