Samsung Galaxy S25 Ultra
Geekbench AI Score
2378
Single Precision Score
2381
Half Precision Score
4190
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 08 2025 02:37 AM |
| Views | 7 |
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% |
2024
376.4 IPS |
|
|
Image Classification (HP)
|
100% |
1998
371.5 IPS |
|
|
Image Classification (Q)
|
100% |
4548
845.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5292
86.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5299
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
5085
5.93 IPS |
|
|
Pose Estimation (Q)
|
84% |
13398
15.9 IPS |
|
|
Object Detection (SP)
|
98% |
1301
103.5 IPS |
|
|
Object Detection (HP)
|
98% |
1175
93.5 IPS |
|
|
Object Detection (Q)
|
83% |
2711
219.0 IPS |
|
|
Face Detection (SP)
|
100% |
3356
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
3566
42.4 IPS |
|
|
Face Detection (Q)
|
95% |
7863
93.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4420
34.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4529
35.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
10307
94.4 IPS |
|
|
Style Transfer (SP)
|
89% |
11332
14.7 IPS |
|
|
Style Transfer (HP)
|
89% |
11478
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20504
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1628
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1573
58.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4526
167.7 IPS |
|
|
Text Classification (SP)
|
100% |
458
610.8 IPS |
|
|
Text Classification (HP)
|
99% |
578
771.7 IPS |
|
|
Text Classification (Q)
|
88% |
744
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1347
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1243
21.4 IPS |
|
|
Machine Translation (Q)
|
50% |
341
12.1 IPS |
