Samsung Galaxy S25 Ultra
Geekbench AI Score
2001
Single Precision Score
2145
Half Precision Score
3209
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 03:32 AM |
| Views | 3 |
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-S938U |
| 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% |
1250
232.4 IPS |
|
|
Image Classification (HP)
|
100% |
1062
197.5 IPS |
|
|
Image Classification (Q)
|
100% |
2050
381.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
771
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1105
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2540
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3756
4.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
5227
6.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
13394
15.9 IPS |
|
|
Object Detection (SP)
|
98% |
1312
104.5 IPS |
|
|
Object Detection (HP)
|
98% |
1183
94.1 IPS |
|
|
Object Detection (Q)
|
83% |
2082
168.2 IPS |
|
|
Face Detection (SP)
|
100% |
2848
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
3308
39.3 IPS |
|
|
Face Detection (Q)
|
95% |
6484
77.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4003
30.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4484
34.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
9055
82.9 IPS |
|
|
Style Transfer (SP)
|
89% |
10687
13.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9957
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10089
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1675
61.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1688
62.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4711
174.6 IPS |
|
|
Text Classification (SP)
|
100% |
808
1.08 KIPS |
|
|
Text Classification (HP)
|
99% |
902
1.20 KIPS |
|
|
Text Classification (Q)
|
88% |
644
867.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1315
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (Q)
|
50% |
444
15.8 IPS |
