Samsung Galaxy S25 Ultra
Geekbench AI Score
642
Single Precision Score
644
Half Precision Score
1325
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 10 2026 01:51 PM |
| Views | 3 |
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% |
369
68.6 IPS |
|
|
Image Classification (HP)
|
100% |
373
69.4 IPS |
|
|
Image Classification (Q)
|
99% |
918
171.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
488
7.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
490
7.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
465
7.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
677
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
684
0.80 IPS |
|
|
Pose Estimation (Q)
|
98% |
2613
3.06 IPS |
|
|
Object Detection (SP)
|
100% |
377
29.9 IPS |
|
|
Object Detection (HP)
|
100% |
377
29.9 IPS |
|
|
Object Detection (Q)
|
87% |
998
80.0 IPS |
|
|
Face Detection (SP)
|
100% |
936
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
927
11.0 IPS |
|
|
Face Detection (Q)
|
97% |
2209
26.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
822
6.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
830
6.40 IPS |
|
|
Depth Estimation (Q)
|
64% |
1890
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1451
1.87 IPS |
|
|
Style Transfer (HP)
|
100% |
1448
1.86 IPS |
|
|
Style Transfer (Q)
|
98% |
3987
5.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
451
16.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
450
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1601
59.3 IPS |
|
|
Text Classification (SP)
|
100% |
574
766.0 IPS |
|
|
Text Classification (HP)
|
100% |
574
766.4 IPS |
|
|
Text Classification (Q)
|
91% |
886
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
916
15.8 IPS |
|
|
Machine Translation (Q)
|
57% |
639
15.6 IPS |
