Samsung Galaxy S25 Ultra
Geekbench AI Score
1949
Single Precision Score
1858
Half Precision Score
3009
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Deimorin |
| Upload Date | August 22 2025 12:28 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1687
313.8 IPS |
|
|
Image Classification (HP)
|
100% |
1789
332.6 IPS |
|
|
Image Classification (Q)
|
100% |
3780
702.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2035
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2350
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4567
5.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
4480
5.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
9035
10.7 IPS |
|
|
Object Detection (SP)
|
98% |
1005
80.0 IPS |
|
|
Object Detection (HP)
|
98% |
876
69.7 IPS |
|
|
Object Detection (Q)
|
83% |
2108
170.3 IPS |
|
|
Face Detection (SP)
|
100% |
2664
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
2988
35.5 IPS |
|
|
Face Detection (Q)
|
95% |
6492
77.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3530
27.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3464
26.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
8426
77.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9912
12.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9163
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
16336
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1272
47.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1129
41.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2449
90.7 IPS |
|
|
Text Classification (SP)
|
100% |
381
507.9 IPS |
|
|
Text Classification (HP)
|
99% |
359
479.7 IPS |
|
|
Text Classification (Q)
|
88% |
436
588.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1114
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1129
19.5 IPS |
|
|
Machine Translation (Q)
|
50% |
378
13.4 IPS |
