Samsung Galaxy S25 Ultra
Geekbench AI Score
521
Single Precision Score
26937
Half Precision Score
60364
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 24 2025 05:03 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S25 Ultra |
| Model ID | samsung SM-S938U1 |
| 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% |
383
71.2 IPS |
|
|
Image Classification (HP)
|
100% |
20946
3.90 KIPS |
|
|
Image Classification (Q)
|
97% |
50009
9.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
506
8.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
13223
214.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
40964
666.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
544
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
123182
143.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
476014
557.1 IPS |
|
|
Object Detection (SP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (HP)
|
100% |
18681
1.48 KIPS |
|
|
Object Detection (Q)
|
85% |
21641
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
760
9.03 IPS |
|
|
Face Detection (HP)
|
100% |
41091
488.2 IPS |
|
|
Face Detection (Q)
|
97% |
136625
1.63 KIPS |
|
|
Depth Estimation (SP)
|
100% |
703
5.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
83506
643.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
141815
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
1165
1.50 IPS |
|
|
Style Transfer (HP)
|
98% |
98807
127.4 IPS |
|
|
Style Transfer (Q)
|
98% |
491726
634.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
326
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53267
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134980
5.00 KIPS |
|
|
Text Classification (SP)
|
100% |
425
567.6 IPS |
|
|
Text Classification (HP)
|
100% |
3894
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
7992
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
624
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4488
77.3 IPS |
|
|
Machine Translation (Q)
|
56% |
2962
76.3 IPS |
