Samsung Galaxy S25 Ultra
Geekbench AI Score
389
Single Precision Score
26045
Half Precision Score
57545
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | September 14 2025 12:11 PM |
| Views | 4 |
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% |
262
48.6 IPS |
|
|
Image Classification (HP)
|
100% |
19608
3.65 KIPS |
|
|
Image Classification (Q)
|
97% |
47825
8.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
321
5.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
13435
217.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
39283
638.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
414
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
122431
142.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
472880
553.5 IPS |
|
|
Object Detection (SP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
17925
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
20490
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
571
6.78 IPS |
|
|
Face Detection (HP)
|
100% |
37751
448.6 IPS |
|
|
Face Detection (Q)
|
97% |
120646
1.44 KIPS |
|
|
Depth Estimation (SP)
|
100% |
496
3.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
81259
626.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
135958
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
911
1.17 IPS |
|
|
Style Transfer (HP)
|
98% |
98156
126.6 IPS |
|
|
Style Transfer (Q)
|
98% |
486058
626.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
249
9.18 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50994
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
124166
4.60 KIPS |
|
|
Text Classification (SP)
|
100% |
316
421.9 IPS |
|
|
Text Classification (HP)
|
100% |
3840
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
7828
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
551
9.48 IPS |
|
|
Machine Translation (HP)
|
100% |
4215
72.6 IPS |
|
|
Machine Translation (Q)
|
56% |
2823
72.7 IPS |
