Samsung Galaxy S25 Ultra
Geekbench AI Score
2443
Single Precision Score
2619
Half Precision Score
4040
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 13 2025 06:38 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1751
325.7 IPS |
|
|
Image Classification (HP)
|
100% |
1678
312.1 IPS |
|
|
Image Classification (Q)
|
100% |
2013
374.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2291
37.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3339
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3024
3.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
5430
6.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
13294
15.8 IPS |
|
|
Object Detection (SP)
|
98% |
1737
138.2 IPS |
|
|
Object Detection (HP)
|
98% |
1663
132.3 IPS |
|
|
Object Detection (Q)
|
83% |
3990
322.3 IPS |
|
|
Face Detection (SP)
|
100% |
4219
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
4332
51.5 IPS |
|
|
Face Detection (Q)
|
95% |
9278
110.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4463
34.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4656
36.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
10863
99.5 IPS |
|
|
Style Transfer (SP)
|
89% |
11117
14.4 IPS |
|
|
Style Transfer (HP)
|
89% |
11120
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
23195
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1989
73.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1835
67.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4658
172.6 IPS |
|
|
Text Classification (SP)
|
100% |
642
856.8 IPS |
|
|
Text Classification (HP)
|
99% |
782
1.04 KIPS |
|
|
Text Classification (Q)
|
88% |
687
926.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1346
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1361
23.5 IPS |
|
|
Machine Translation (Q)
|
50% |
435
15.5 IPS |
