Samsung Galaxy S25 Ultra
Geekbench AI Score
2580
Single Precision Score
2673
Half Precision Score
4488
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 06:22 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% |
1968
366.0 IPS |
|
|
Image Classification (HP)
|
100% |
1913
355.7 IPS |
|
|
Image Classification (Q)
|
100% |
4188
778.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2216
35.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4993
81.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5031
5.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
5070
5.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
12187
14.5 IPS |
|
|
Object Detection (SP)
|
98% |
1482
117.9 IPS |
|
|
Object Detection (HP)
|
98% |
1431
113.8 IPS |
|
|
Object Detection (Q)
|
83% |
1651
133.4 IPS |
|
|
Face Detection (SP)
|
100% |
2327
27.7 IPS |
|
|
Face Detection (HP)
|
100% |
4093
48.6 IPS |
|
|
Face Detection (Q)
|
95% |
8220
98.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4582
35.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4503
34.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
9878
90.5 IPS |
|
|
Style Transfer (SP)
|
89% |
11208
14.5 IPS |
|
|
Style Transfer (HP)
|
89% |
11436
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
24644
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2404
88.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2261
83.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6604
244.7 IPS |
|
|
Text Classification (SP)
|
100% |
959
1.28 KIPS |
|
|
Text Classification (HP)
|
99% |
927
1.24 KIPS |
|
|
Text Classification (Q)
|
88% |
1048
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1392
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1374
23.7 IPS |
|
|
Machine Translation (Q)
|
50% |
570
20.2 IPS |
