Samsung Galaxy S25+
Geekbench AI Score
2758
Single Precision Score
4516
Half Precision Score
3718
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 16 2025 11:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1689
314.2 IPS |
|
|
Image Classification (HP)
|
100% |
2916
542.4 IPS |
|
|
Image Classification (Q)
|
100% |
3304
614.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3062
49.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5968
96.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4724
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13745
16.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
24775
28.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24186
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
1554
123.3 IPS |
|
|
Object Detection (HP)
|
99% |
2438
193.3 IPS |
|
|
Object Detection (Q)
|
85% |
2380
191.6 IPS |
|
|
Face Detection (SP)
|
100% |
5526
65.7 IPS |
|
|
Face Detection (HP)
|
100% |
9565
113.7 IPS |
|
|
Face Detection (Q)
|
97% |
8307
99.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7077
54.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9718
75.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
7450
72.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17073
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38530
49.5 IPS |
|
|
Style Transfer (Q)
|
98% |
37494
48.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3727
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5823
215.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5738
212.7 IPS |
|
|
Text Classification (SP)
|
35% |
91
883.9 IPS |
|
|
Text Classification (HP)
|
35% |
91
828.5 IPS |
|
|
Text Classification (Q)
|
33% |
71
800.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1019
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1770
30.5 IPS |
|
|
Machine Translation (Q)
|
48% |
595
22.8 IPS |
