Samsung Galaxy S25 Ultra
Geekbench AI Score
2425
Single Precision Score
2406
Half Precision Score
3659
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 01 2025 11:50 AM |
| Views | 4 |
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% |
1542
286.8 IPS |
|
|
Image Classification (HP)
|
100% |
1268
235.9 IPS |
|
|
Image Classification (Q)
|
100% |
3455
642.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2190
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2279
37.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4865
79.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4969
5.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
4806
5.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
12276
14.6 IPS |
|
|
Object Detection (SP)
|
98% |
1672
133.0 IPS |
|
|
Object Detection (HP)
|
98% |
1480
117.8 IPS |
|
|
Object Detection (Q)
|
83% |
1694
136.9 IPS |
|
|
Face Detection (SP)
|
100% |
3749
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
3708
44.1 IPS |
|
|
Face Detection (Q)
|
95% |
8699
103.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3940
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4395
34.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
10581
96.9 IPS |
|
|
Style Transfer (SP)
|
89% |
10934
14.2 IPS |
|
|
Style Transfer (HP)
|
89% |
10711
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23247
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2143
79.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2042
75.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4652
172.4 IPS |
|
|
Text Classification (SP)
|
100% |
600
800.8 IPS |
|
|
Text Classification (HP)
|
99% |
716
955.7 IPS |
|
|
Text Classification (Q)
|
88% |
243
328.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1209
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1243
21.4 IPS |
|
|
Machine Translation (Q)
|
50% |
509
18.1 IPS |
