Samsung Galaxy S25 Ultra
Geekbench AI Score
568
Single Precision Score
549
Half Precision Score
1167
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 19 2025 05:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
417
77.5 IPS |
|
|
Image Classification (HP)
|
100% |
413
76.9 IPS |
|
|
Image Classification (Q)
|
99% |
1044
194.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
546
8.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
496
8.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
965
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
675
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
611
0.71 IPS |
|
|
Pose Estimation (Q)
|
98% |
2352
2.75 IPS |
|
|
Object Detection (SP)
|
100% |
302
23.9 IPS |
|
|
Object Detection (HP)
|
100% |
303
24.1 IPS |
|
|
Object Detection (Q)
|
87% |
801
64.2 IPS |
|
|
Face Detection (SP)
|
100% |
868
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
869
10.3 IPS |
|
|
Face Detection (Q)
|
97% |
1808
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
696
5.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
658
5.07 IPS |
|
|
Depth Estimation (Q)
|
64% |
1411
12.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1165
1.50 IPS |
|
|
Style Transfer (HP)
|
100% |
1013
1.30 IPS |
|
|
Style Transfer (Q)
|
98% |
2677
3.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
338
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1181
43.8 IPS |
|
|
Text Classification (SP)
|
100% |
434
579.9 IPS |
|
|
Text Classification (HP)
|
100% |
435
580.5 IPS |
|
|
Text Classification (Q)
|
91% |
669
899.8 IPS |
|
|
Machine Translation (SP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
775
13.3 IPS |
|
|
Machine Translation (Q)
|
57% |
461
11.3 IPS |
