Samsung Galaxy S25 Ultra
Geekbench AI Score
2601
Single Precision Score
2650
Half Precision Score
4401
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 04 2025 08:31 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2024
376.5 IPS |
|
|
Image Classification (HP)
|
100% |
2094
389.3 IPS |
|
|
Image Classification (Q)
|
100% |
4522
840.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2455
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2344
38.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5180
84.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5507
6.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
5226
6.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
13533
16.0 IPS |
|
|
Object Detection (SP)
|
98% |
1674
133.2 IPS |
|
|
Object Detection (HP)
|
98% |
1612
128.3 IPS |
|
|
Object Detection (Q)
|
83% |
3714
300.0 IPS |
|
|
Face Detection (SP)
|
100% |
4330
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
4317
51.3 IPS |
|
|
Face Detection (Q)
|
95% |
7855
93.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4542
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4554
35.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
9998
91.6 IPS |
|
|
Style Transfer (SP)
|
89% |
11387
14.8 IPS |
|
|
Style Transfer (HP)
|
89% |
11603
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23361
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1912
70.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1904
70.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3129
116.0 IPS |
|
|
Text Classification (SP)
|
100% |
514
685.9 IPS |
|
|
Text Classification (HP)
|
99% |
708
944.8 IPS |
|
|
Text Classification (Q)
|
88% |
734
989.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1408
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1347
23.2 IPS |
|
|
Machine Translation (Q)
|
50% |
550
19.5 IPS |
