Samsung Galaxy S25 Ultra
Geekbench AI Score
428
Single Precision Score
424
Half Precision Score
858
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 15 2025 12:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S25 Ultra |
| Model ID | samsung SM-S938B |
| 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% |
357
66.3 IPS |
|
|
Image Classification (HP)
|
100% |
374
69.5 IPS |
|
|
Image Classification (Q)
|
99% |
814
151.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
398
6.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
432
7.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
731
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
512
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
483
0.56 IPS |
|
|
Pose Estimation (Q)
|
98% |
1274
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (HP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (Q)
|
87% |
553
44.3 IPS |
|
|
Face Detection (SP)
|
100% |
565
6.71 IPS |
|
|
Face Detection (HP)
|
100% |
638
7.58 IPS |
|
|
Face Detection (Q)
|
97% |
1431
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
558
4.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
492
3.79 IPS |
|
|
Depth Estimation (Q)
|
64% |
1065
9.67 IPS |
|
|
Style Transfer (SP)
|
100% |
903
1.16 IPS |
|
|
Style Transfer (HP)
|
100% |
767
0.99 IPS |
|
|
Style Transfer (Q)
|
98% |
2005
2.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
246
9.08 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
246
9.09 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
882
32.7 IPS |
|
|
Text Classification (SP)
|
100% |
320
426.7 IPS |
|
|
Text Classification (HP)
|
100% |
319
426.2 IPS |
|
|
Text Classification (Q)
|
91% |
493
662.2 IPS |
|
|
Machine Translation (SP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
616
10.6 IPS |
|
|
Machine Translation (Q)
|
57% |
392
9.57 IPS |
