Samsung Galaxy S25
Geekbench AI Score
2703
Single Precision Score
2698
Half Precision Score
4211
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 14 2025 02:49 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-S931U1 |
| 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% |
2013
374.3 IPS |
|
|
Image Classification (HP)
|
100% |
2046
380.5 IPS |
|
|
Image Classification (Q)
|
100% |
4486
834.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2495
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2417
39.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5407
87.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5623
6.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
5594
6.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
10076
11.9 IPS |
|
|
Object Detection (SP)
|
98% |
1339
106.5 IPS |
|
|
Object Detection (HP)
|
98% |
1449
115.3 IPS |
|
|
Object Detection (Q)
|
83% |
2645
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
4359
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
4343
51.6 IPS |
|
|
Face Detection (Q)
|
95% |
9920
118.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4925
38.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4816
37.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
9204
84.3 IPS |
|
|
Style Transfer (SP)
|
89% |
10313
13.4 IPS |
|
|
Style Transfer (HP)
|
89% |
9293
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
19193
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2199
81.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2249
83.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4760
176.4 IPS |
|
|
Text Classification (SP)
|
100% |
847
1.13 KIPS |
|
|
Text Classification (HP)
|
99% |
859
1.15 KIPS |
|
|
Text Classification (Q)
|
88% |
672
906.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1338
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1360
23.4 IPS |
|
|
Machine Translation (Q)
|
50% |
484
17.2 IPS |
