Samsung Galaxy S25+
Geekbench AI Score
2782
Single Precision Score
4378
Half Precision Score
3660
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 02:19 AM |
| Views | 1 |
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-S936U |
| 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 | 10.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1758
326.9 IPS |
|
|
Image Classification (HP)
|
100% |
2914
541.8 IPS |
|
|
Image Classification (Q)
|
100% |
2774
515.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3295
53.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5808
94.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5831
94.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13789
16.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
24976
29.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
24486
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
99% |
2007
159.2 IPS |
|
|
Object Detection (Q)
|
85% |
1952
157.2 IPS |
|
|
Face Detection (SP)
|
100% |
5345
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
9545
113.4 IPS |
|
|
Face Detection (Q)
|
97% |
8380
99.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7115
54.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9692
74.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
7500
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17401
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38313
49.3 IPS |
|
|
Style Transfer (Q)
|
98% |
37653
48.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3789
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6206
229.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5650
209.4 IPS |
|
|
Text Classification (SP)
|
35% |
91
886.0 IPS |
|
|
Text Classification (HP)
|
35% |
91
830.1 IPS |
|
|
Text Classification (Q)
|
33% |
71
798.2 IPS |
|
|
Machine Translation (SP)
|
100% |
984
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1525
26.3 IPS |
|
|
Machine Translation (Q)
|
48% |
589
22.6 IPS |
