Samsung Galaxy S25 Ultra
Geekbench AI Score
2377
Single Precision Score
2392
Half Precision Score
4119
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 10 2025 03:57 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% |
1979
368.1 IPS |
|
|
Image Classification (HP)
|
100% |
2034
378.2 IPS |
|
|
Image Classification (Q)
|
100% |
4497
836.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2470
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5243
85.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5260
6.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
5259
6.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
9740
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
854
68.0 IPS |
|
|
Object Detection (HP)
|
98% |
862
68.6 IPS |
|
|
Object Detection (Q)
|
83% |
2446
197.6 IPS |
|
|
Face Detection (SP)
|
100% |
3361
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
3637
43.2 IPS |
|
|
Face Detection (Q)
|
95% |
7948
94.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4591
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4556
35.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
10843
99.3 IPS |
|
|
Style Transfer (SP)
|
89% |
11523
15.0 IPS |
|
|
Style Transfer (HP)
|
89% |
11547
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23262
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1767
65.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1540
56.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3164
117.2 IPS |
|
|
Text Classification (SP)
|
100% |
644
859.7 IPS |
|
|
Text Classification (HP)
|
99% |
715
954.9 IPS |
|
|
Text Classification (Q)
|
88% |
797
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1297
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1347
23.2 IPS |
|
|
Machine Translation (Q)
|
50% |
496
17.6 IPS |
