Samsung Galaxy S25 Ultra
Geekbench AI Score
2695
Single Precision Score
2681
Half Precision Score
4497
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2025 10:34 PM |
| Views | 1 |
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-S938U1 |
| 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% |
2017
375.1 IPS |
|
|
Image Classification (HP)
|
100% |
1972
366.8 IPS |
|
|
Image Classification (Q)
|
100% |
4436
825.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5051
82.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5428
6.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
5323
6.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
12810
15.2 IPS |
|
|
Object Detection (SP)
|
98% |
1618
128.8 IPS |
|
|
Object Detection (HP)
|
98% |
1687
134.3 IPS |
|
|
Object Detection (Q)
|
83% |
3873
312.9 IPS |
|
|
Face Detection (SP)
|
100% |
4366
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
4331
51.5 IPS |
|
|
Face Detection (Q)
|
95% |
9418
112.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4614
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4581
35.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
10325
94.6 IPS |
|
|
Style Transfer (SP)
|
89% |
11011
14.3 IPS |
|
|
Style Transfer (HP)
|
89% |
11357
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
23773
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2126
78.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2139
79.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3986
147.7 IPS |
|
|
Text Classification (SP)
|
100% |
748
998.5 IPS |
|
|
Text Classification (HP)
|
99% |
773
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
593
799.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1369
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1367
23.6 IPS |
|
|
Machine Translation (Q)
|
50% |
557
19.8 IPS |
