Samsung Galaxy S25 Ultra
Geekbench AI Score
2672
Single Precision Score
2660
Half Precision Score
4728
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 06:42 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-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% |
1929
358.8 IPS |
|
|
Image Classification (HP)
|
100% |
1903
353.9 IPS |
|
|
Image Classification (Q)
|
100% |
4193
779.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2316
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2318
37.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5041
82.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5537
6.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
5409
6.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
12802
15.2 IPS |
|
|
Object Detection (SP)
|
98% |
1720
136.9 IPS |
|
|
Object Detection (HP)
|
98% |
1693
134.7 IPS |
|
|
Object Detection (Q)
|
83% |
4011
324.0 IPS |
|
|
Face Detection (SP)
|
100% |
4455
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
4476
53.2 IPS |
|
|
Face Detection (Q)
|
95% |
9518
113.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4694
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4564
35.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
10728
98.3 IPS |
|
|
Style Transfer (SP)
|
89% |
11365
14.8 IPS |
|
|
Style Transfer (HP)
|
89% |
11519
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24314
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2221
82.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2257
83.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5218
193.3 IPS |
|
|
Text Classification (SP)
|
100% |
597
796.2 IPS |
|
|
Text Classification (HP)
|
99% |
613
818.7 IPS |
|
|
Text Classification (Q)
|
88% |
730
984.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1385
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1351
23.3 IPS |
|
|
Machine Translation (Q)
|
50% |
544
19.3 IPS |
