Samsung Galaxy S25 Ultra
Geekbench AI Score
2674
Single Precision Score
2640
Half Precision Score
4614
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | October 25 2025 05:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2044
380.1 IPS |
|
|
Image Classification (HP)
|
100% |
2119
394.0 IPS |
|
|
Image Classification (Q)
|
100% |
4697
873.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2453
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2292
37.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5258
85.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5474
6.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
5216
6.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
12370
14.7 IPS |
|
|
Object Detection (SP)
|
98% |
1658
131.9 IPS |
|
|
Object Detection (HP)
|
98% |
1724
137.2 IPS |
|
|
Object Detection (Q)
|
83% |
3481
281.2 IPS |
|
|
Face Detection (SP)
|
100% |
4236
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
4379
52.0 IPS |
|
|
Face Detection (Q)
|
95% |
9639
115.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4228
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4112
31.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
10755
98.5 IPS |
|
|
Style Transfer (SP)
|
89% |
11368
14.8 IPS |
|
|
Style Transfer (HP)
|
89% |
11180
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
23286
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1888
69.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1952
72.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5022
186.1 IPS |
|
|
Text Classification (SP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (HP)
|
99% |
710
948.0 IPS |
|
|
Text Classification (Q)
|
88% |
598
806.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1361
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1354
23.3 IPS |
|
|
Machine Translation (Q)
|
50% |
568
20.2 IPS |
