Samsung Galaxy S25+
Geekbench AI Score
539
Single Precision Score
27050
Half Precision Score
60716
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 31 2025 03:24 AM |
| Views | 1 |
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-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% |
382
71.1 IPS |
|
|
Image Classification (HP)
|
100% |
20941
3.89 KIPS |
|
|
Image Classification (Q)
|
97% |
49877
9.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
484
7.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
13517
219.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
41399
673.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
594
0.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
123621
144.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
476934
558.2 IPS |
|
|
Object Detection (SP)
|
100% |
287
22.8 IPS |
|
|
Object Detection (HP)
|
100% |
18878
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
21907
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
805
9.56 IPS |
|
|
Face Detection (HP)
|
100% |
41509
493.2 IPS |
|
|
Face Detection (Q)
|
97% |
139126
1.66 KIPS |
|
|
Depth Estimation (SP)
|
100% |
702
5.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
83541
643.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
142731
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
1171
1.51 IPS |
|
|
Style Transfer (HP)
|
98% |
98541
127.1 IPS |
|
|
Style Transfer (Q)
|
98% |
490171
632.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
316
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52921
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134919
5.00 KIPS |
|
|
Text Classification (SP)
|
100% |
429
572.5 IPS |
|
|
Text Classification (HP)
|
100% |
3903
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
8073
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
738
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4500
77.5 IPS |
|
|
Machine Translation (Q)
|
56% |
2977
76.7 IPS |
