Samsung Galaxy S25 Ultra
Geekbench AI Score
2546
Single Precision Score
2655
Half Precision Score
4625
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 22 2025 06:38 PM |
| Views | 6 |
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% |
1981
368.4 IPS |
|
|
Image Classification (HP)
|
100% |
1974
367.2 IPS |
|
|
Image Classification (Q)
|
100% |
4619
859.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2425
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2343
38.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5107
83.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5464
6.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
5252
6.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
12191
14.5 IPS |
|
|
Object Detection (SP)
|
98% |
1752
139.4 IPS |
|
|
Object Detection (HP)
|
98% |
1651
131.3 IPS |
|
|
Object Detection (Q)
|
83% |
3891
314.3 IPS |
|
|
Face Detection (SP)
|
100% |
4391
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
4314
51.3 IPS |
|
|
Face Detection (Q)
|
95% |
9357
111.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4536
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4467
34.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
8800
80.6 IPS |
|
|
Style Transfer (SP)
|
89% |
11185
14.5 IPS |
|
|
Style Transfer (HP)
|
89% |
11067
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
23441
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2038
75.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1868
69.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4513
167.2 IPS |
|
|
Text Classification (SP)
|
100% |
393
524.1 IPS |
|
|
Text Classification (HP)
|
99% |
824
1.10 KIPS |
|
|
Text Classification (Q)
|
88% |
834
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1396
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1326
22.8 IPS |
|
|
Machine Translation (Q)
|
50% |
552
19.6 IPS |
