Samsung Galaxy S25 Ultra
Geekbench AI Score
670
Single Precision Score
675
Half Precision Score
1457
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 01 2025 06:19 AM |
| Views | 3 |
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% |
446
82.9 IPS |
|
|
Image Classification (HP)
|
100% |
443
82.4 IPS |
|
|
Image Classification (Q)
|
99% |
1113
207.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
564
9.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
564
9.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
1115
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
748
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
734
0.86 IPS |
|
|
Pose Estimation (Q)
|
98% |
2887
3.38 IPS |
|
|
Object Detection (SP)
|
100% |
406
32.2 IPS |
|
|
Object Detection (HP)
|
100% |
407
32.3 IPS |
|
|
Object Detection (Q)
|
87% |
1093
87.7 IPS |
|
|
Face Detection (SP)
|
100% |
944
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
896
10.6 IPS |
|
|
Face Detection (Q)
|
97% |
1809
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
895
6.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
904
6.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
1920
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1480
1.90 IPS |
|
|
Style Transfer (HP)
|
100% |
1410
1.81 IPS |
|
|
Style Transfer (Q)
|
98% |
3574
4.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
355
13.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
428
15.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1602
59.4 IPS |
|
|
Text Classification (SP)
|
100% |
576
768.9 IPS |
|
|
Text Classification (HP)
|
100% |
577
769.6 IPS |
|
|
Text Classification (Q)
|
91% |
887
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (Q)
|
57% |
627
15.3 IPS |
