Samsung Galaxy S25 Ultra
Geekbench AI Score
380
Single Precision Score
377
Half Precision Score
803
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 14 2025 12:22 PM |
| Views | 8 |
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-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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
238
44.3 IPS |
|
|
Image Classification (HP)
|
100% |
206
38.2 IPS |
|
|
Image Classification (Q)
|
99% |
495
92.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
276
4.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
276
4.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
520
8.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
415
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
384
0.45 IPS |
|
|
Pose Estimation (Q)
|
98% |
1425
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (Q)
|
87% |
548
43.9 IPS |
|
|
Face Detection (SP)
|
100% |
569
6.76 IPS |
|
|
Face Detection (HP)
|
100% |
569
6.76 IPS |
|
|
Face Detection (Q)
|
97% |
1235
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
497
3.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
500
3.85 IPS |
|
|
Depth Estimation (Q)
|
64% |
1051
9.54 IPS |
|
|
Style Transfer (SP)
|
100% |
906
1.16 IPS |
|
|
Style Transfer (HP)
|
100% |
906
1.16 IPS |
|
|
Style Transfer (Q)
|
98% |
2324
3.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
247
9.11 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
245
9.04 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
881
32.6 IPS |
|
|
Text Classification (SP)
|
100% |
320
427.7 IPS |
|
|
Text Classification (HP)
|
100% |
321
428.3 IPS |
|
|
Text Classification (Q)
|
91% |
493
663.1 IPS |
|
|
Machine Translation (SP)
|
100% |
548
9.43 IPS |
|
|
Machine Translation (HP)
|
100% |
627
10.8 IPS |
|
|
Machine Translation (Q)
|
57% |
427
10.4 IPS |
