Samsung Galaxy S25 Ultra
Geekbench AI Score
610
Single Precision Score
610
Half Precision Score
1241
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 07 2025 11:35 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S25 Ultra |
| Model ID | samsung SM-S938Q |
| 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% |
429
79.7 IPS |
|
|
Image Classification (HP)
|
100% |
431
80.2 IPS |
|
|
Image Classification (Q)
|
99% |
1096
204.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
495
8.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
496
8.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
967
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
681
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
589
0.69 IPS |
|
|
Pose Estimation (Q)
|
98% |
2098
2.46 IPS |
|
|
Object Detection (SP)
|
100% |
356
28.2 IPS |
|
|
Object Detection (HP)
|
100% |
344
27.3 IPS |
|
|
Object Detection (Q)
|
87% |
886
71.1 IPS |
|
|
Face Detection (SP)
|
100% |
868
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
868
10.3 IPS |
|
|
Face Detection (Q)
|
97% |
1960
23.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
754
5.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
755
5.82 IPS |
|
|
Depth Estimation (Q)
|
64% |
1432
13.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1344
1.73 IPS |
|
|
Style Transfer (HP)
|
100% |
1253
1.61 IPS |
|
|
Style Transfer (Q)
|
98% |
2668
3.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
363
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
427
15.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1399
51.8 IPS |
|
|
Text Classification (SP)
|
100% |
503
671.6 IPS |
|
|
Text Classification (HP)
|
100% |
503
671.9 IPS |
|
|
Text Classification (Q)
|
91% |
777
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
869
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
936
16.1 IPS |
|
|
Machine Translation (Q)
|
57% |
541
13.2 IPS |
