Samsung Galaxy S25+
Geekbench AI Score
2823
Single Precision Score
2828
Half Precision Score
5127
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 28 2025 10:26 AM |
| Views | 1 |
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-S936N |
| 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% |
1885
350.6 IPS |
|
|
Image Classification (HP)
|
100% |
1914
356.0 IPS |
|
|
Image Classification (Q)
|
100% |
4251
790.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2307
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5187
84.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5479
6.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
5264
6.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
12951
15.4 IPS |
|
|
Object Detection (SP)
|
98% |
1758
139.9 IPS |
|
|
Object Detection (HP)
|
98% |
1765
140.4 IPS |
|
|
Object Detection (Q)
|
83% |
4088
330.2 IPS |
|
|
Face Detection (SP)
|
100% |
4397
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
4508
53.6 IPS |
|
|
Face Detection (Q)
|
95% |
9957
118.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4597
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4570
35.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
10422
95.5 IPS |
|
|
Style Transfer (SP)
|
89% |
11788
15.3 IPS |
|
|
Style Transfer (HP)
|
89% |
11538
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25746
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2493
92.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2426
89.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6713
248.7 IPS |
|
|
Text Classification (SP)
|
100% |
984
1.31 KIPS |
|
|
Text Classification (HP)
|
99% |
998
1.33 KIPS |
|
|
Text Classification (Q)
|
88% |
1080
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1316
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1392
24.0 IPS |
|
|
Machine Translation (Q)
|
50% |
555
19.7 IPS |
