Samsung Galaxy S25 Ultra
Geekbench AI Score
523
Single Precision Score
26724
Half Precision Score
59581
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kasid |
| Upload Date | September 24 2025 05:52 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
422
78.5 IPS |
|
|
Image Classification (HP)
|
100% |
21171
3.94 KIPS |
|
|
Image Classification (Q)
|
97% |
49529
9.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
553
8.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
13668
221.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
42221
686.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
669
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
123158
143.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
476839
558.1 IPS |
|
|
Object Detection (SP)
|
100% |
290
23.0 IPS |
|
|
Object Detection (HP)
|
100% |
18313
1.45 KIPS |
|
|
Object Detection (Q)
|
85% |
21142
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
583
6.92 IPS |
|
|
Face Detection (HP)
|
100% |
38095
452.7 IPS |
|
|
Face Detection (Q)
|
97% |
119883
1.43 KIPS |
|
|
Depth Estimation (SP)
|
100% |
572
4.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
83614
644.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
143488
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
1105
1.42 IPS |
|
|
Style Transfer (HP)
|
98% |
98400
126.9 IPS |
|
|
Style Transfer (Q)
|
98% |
489175
630.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
316
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52159
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
133553
4.95 KIPS |
|
|
Text Classification (SP)
|
100% |
428
571.8 IPS |
|
|
Text Classification (HP)
|
100% |
3902
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
7953
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
682
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4464
76.9 IPS |
|
|
Machine Translation (Q)
|
56% |
2992
77.1 IPS |
