Samsung Galaxy S25 Ultra
Geekbench AI Score
2597
Single Precision Score
2579
Half Precision Score
4209
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Zay |
| Upload Date | August 10 2025 06:00 PM |
| Views | 17 |
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% |
1975
367.3 IPS |
|
|
Image Classification (HP)
|
100% |
1990
370.0 IPS |
|
|
Image Classification (Q)
|
100% |
4457
828.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5115
83.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5052
5.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
4903
5.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
12359
14.7 IPS |
|
|
Object Detection (SP)
|
98% |
1480
117.8 IPS |
|
|
Object Detection (HP)
|
98% |
1528
121.6 IPS |
|
|
Object Detection (Q)
|
83% |
3707
299.5 IPS |
|
|
Face Detection (SP)
|
100% |
4190
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
4244
50.4 IPS |
|
|
Face Detection (Q)
|
95% |
8822
105.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4524
35.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4542
35.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4861
44.5 IPS |
|
|
Style Transfer (SP)
|
89% |
11504
14.9 IPS |
|
|
Style Transfer (HP)
|
89% |
11660
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23412
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2331
86.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2103
77.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5015
185.8 IPS |
|
|
Text Classification (SP)
|
100% |
595
793.8 IPS |
|
|
Text Classification (HP)
|
99% |
606
808.6 IPS |
|
|
Text Classification (Q)
|
88% |
645
870.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1312
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1276
22.0 IPS |
|
|
Machine Translation (Q)
|
50% |
515
18.3 IPS |
