Samsung Galaxy S25+
Geekbench AI Score
2761
Single Precision Score
2751
Half Precision Score
5017
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | meogrande |
| Upload Date | November 12 2025 11:47 PM |
| Views | 3 |
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-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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1884
350.4 IPS |
|
|
Image Classification (HP)
|
100% |
1805
335.6 IPS |
|
|
Image Classification (Q)
|
100% |
4237
787.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2278
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2292
37.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4929
80.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5502
6.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
5485
6.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
13884
16.5 IPS |
|
|
Object Detection (SP)
|
98% |
1718
136.7 IPS |
|
|
Object Detection (HP)
|
98% |
1690
134.4 IPS |
|
|
Object Detection (Q)
|
83% |
3812
308.0 IPS |
|
|
Face Detection (SP)
|
100% |
3567
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
3597
42.7 IPS |
|
|
Face Detection (Q)
|
95% |
7957
95.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4616
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4670
36.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
10885
99.7 IPS |
|
|
Style Transfer (SP)
|
89% |
12038
15.6 IPS |
|
|
Style Transfer (HP)
|
89% |
12107
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
25912
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2385
88.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2356
87.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6688
247.8 IPS |
|
|
Text Classification (SP)
|
100% |
966
1.29 KIPS |
|
|
Text Classification (HP)
|
99% |
970
1.29 KIPS |
|
|
Text Classification (Q)
|
88% |
1054
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1394
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1394
24.0 IPS |
|
|
Machine Translation (Q)
|
50% |
578
20.5 IPS |
