Samsung Galaxy S25+
Geekbench AI Score
2850
Single Precision Score
2822
Half Precision Score
5209
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 10:08 PM |
| 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-S936B |
| 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% |
2116
393.5 IPS |
|
|
Image Classification (HP)
|
100% |
2051
381.5 IPS |
|
|
Image Classification (Q)
|
100% |
4582
852.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2525
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2347
38.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5234
85.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5470
6.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
5346
6.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
13703
16.3 IPS |
|
|
Object Detection (SP)
|
98% |
1704
135.6 IPS |
|
|
Object Detection (HP)
|
98% |
1690
134.5 IPS |
|
|
Object Detection (Q)
|
83% |
3937
318.0 IPS |
|
|
Face Detection (SP)
|
100% |
4431
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
4438
52.7 IPS |
|
|
Face Detection (Q)
|
95% |
10109
120.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4413
34.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4552
35.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
10605
97.1 IPS |
|
|
Style Transfer (SP)
|
89% |
11544
15.0 IPS |
|
|
Style Transfer (HP)
|
89% |
11420
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25489
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2389
88.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2426
89.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6824
252.9 IPS |
|
|
Text Classification (SP)
|
100% |
971
1.30 KIPS |
|
|
Text Classification (HP)
|
99% |
954
1.27 KIPS |
|
|
Text Classification (Q)
|
88% |
1078
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1357
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1380
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
566
20.1 IPS |
