Samsung Galaxy S25 Ultra
Geekbench AI Score
2662
Single Precision Score
2707
Half Precision Score
4795
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 02:00 AM |
| Views | 4 |
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-S938U |
| 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% |
1846
343.2 IPS |
|
|
Image Classification (HP)
|
100% |
1781
331.2 IPS |
|
|
Image Classification (Q)
|
100% |
4221
785.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2251
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5173
84.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5405
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
5189
6.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
12984
15.4 IPS |
|
|
Object Detection (SP)
|
98% |
1673
133.1 IPS |
|
|
Object Detection (HP)
|
98% |
1696
134.9 IPS |
|
|
Object Detection (Q)
|
83% |
3876
313.1 IPS |
|
|
Face Detection (SP)
|
100% |
4439
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
4246
50.4 IPS |
|
|
Face Detection (Q)
|
95% |
9163
109.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4515
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4477
34.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
10354
94.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8328
10.8 IPS |
|
|
Style Transfer (HP)
|
89% |
11167
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
24405
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2378
87.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2315
85.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6490
240.5 IPS |
|
|
Text Classification (SP)
|
100% |
920
1.23 KIPS |
|
|
Text Classification (HP)
|
99% |
911
1.22 KIPS |
|
|
Text Classification (Q)
|
88% |
708
955.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1307
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1301
22.4 IPS |
|
|
Machine Translation (Q)
|
50% |
550
19.5 IPS |
