Samsung Galaxy S25 Ultra
Geekbench AI Score
2459
Single Precision Score
2391
Half Precision Score
4397
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | andreicr1 |
| Upload Date | July 10 2025 10:11 PM |
| Views | 36 |
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% |
1778
330.6 IPS |
|
|
Image Classification (HP)
|
100% |
1663
309.4 IPS |
|
|
Image Classification (Q)
|
100% |
3975
739.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4729
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5001
5.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
4752
5.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
11664
13.8 IPS |
|
|
Object Detection (SP)
|
98% |
1524
121.3 IPS |
|
|
Object Detection (HP)
|
98% |
1492
118.7 IPS |
|
|
Object Detection (Q)
|
83% |
3270
264.1 IPS |
|
|
Face Detection (SP)
|
100% |
3824
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
3694
43.9 IPS |
|
|
Face Detection (Q)
|
95% |
8159
97.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3741
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3847
29.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
9035
82.8 IPS |
|
|
Style Transfer (SP)
|
89% |
10338
13.4 IPS |
|
|
Style Transfer (HP)
|
89% |
9978
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22183
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1931
71.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1915
70.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5681
210.5 IPS |
|
|
Text Classification (SP)
|
100% |
831
1.11 KIPS |
|
|
Text Classification (HP)
|
99% |
798
1.07 KIPS |
|
|
Text Classification (Q)
|
88% |
893
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1161
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1131
19.5 IPS |
|
|
Machine Translation (Q)
|
50% |
455
16.2 IPS |
