Samsung Galaxy S25+
Geekbench AI Score
430
Single Precision Score
27259
Half Precision Score
65863
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | khdhmnyu |
| Upload Date | January 10 2026 12:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S25+ |
| Model ID | samsung SM-S9360 |
| 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% |
256
47.6 IPS |
|
|
Image Classification (HP)
|
100% |
20004
3.72 KIPS |
|
|
Image Classification (Q)
|
96% |
49606
9.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
347
5.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
13441
217.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
49283
801.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
424
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
124189
144.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
477023
558.3 IPS |
|
|
Object Detection (SP)
|
100% |
259
20.6 IPS |
|
|
Object Detection (HP)
|
100% |
19269
1.53 KIPS |
|
|
Object Detection (Q)
|
85% |
27127
2.18 KIPS |
|
|
Face Detection (SP)
|
100% |
570
6.77 IPS |
|
|
Face Detection (HP)
|
100% |
36949
439.0 IPS |
|
|
Face Detection (Q)
|
97% |
120388
1.44 KIPS |
|
|
Depth Estimation (SP)
|
100% |
556
4.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
76764
591.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
159183
1.48 KIPS |
|
|
Style Transfer (SP)
|
100% |
988
1.27 IPS |
|
|
Style Transfer (HP)
|
100% |
92568
119.0 IPS |
|
|
Style Transfer (Q)
|
98% |
482534
622.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
277
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53612
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
133290
4.94 KIPS |
|
|
Text Classification (SP)
|
100% |
394
526.4 IPS |
|
|
Text Classification (HP)
|
100% |
4385
5.85 KIPS |
|
|
Text Classification (Q)
|
93% |
11325
15.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5704
98.2 IPS |
|
|
Machine Translation (Q)
|
56% |
3479
89.6 IPS |
