Samsung Galaxy S25 Ultra
Geekbench AI Score
2602
Single Precision Score
2688
Half Precision Score
4546
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 10:20 AM |
| Views | 5 |
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% |
1676
311.8 IPS |
|
|
Image Classification (HP)
|
100% |
1757
326.7 IPS |
|
|
Image Classification (Q)
|
100% |
2405
447.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1068
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1520
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2730
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5599
6.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
5634
6.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
13499
16.0 IPS |
|
|
Object Detection (SP)
|
98% |
1716
136.6 IPS |
|
|
Object Detection (HP)
|
98% |
1740
138.5 IPS |
|
|
Object Detection (Q)
|
83% |
4073
329.0 IPS |
|
|
Face Detection (SP)
|
100% |
4493
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
4478
53.2 IPS |
|
|
Face Detection (Q)
|
95% |
9936
118.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4691
36.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4569
35.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
10777
98.7 IPS |
|
|
Style Transfer (SP)
|
89% |
11593
15.0 IPS |
|
|
Style Transfer (HP)
|
89% |
11581
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24504
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2436
89.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2409
89.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6869
254.5 IPS |
|
|
Text Classification (SP)
|
100% |
987
1.32 KIPS |
|
|
Text Classification (HP)
|
99% |
966
1.29 KIPS |
|
|
Text Classification (Q)
|
88% |
1043
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1409
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1366
23.5 IPS |
|
|
Machine Translation (Q)
|
50% |
556
19.7 IPS |
