Samsung Galaxy S25 Ultra
Geekbench AI Score
520
Single Precision Score
26907
Half Precision Score
59761
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | smart1978 |
| Upload Date | November 25 2025 04:45 PM |
| Views | 1 |
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-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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
447
83.1 IPS |
|
|
Image Classification (HP)
|
100% |
21371
3.97 KIPS |
|
|
Image Classification (Q)
|
97% |
50142
9.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
553
8.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
13820
224.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
41601
676.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
567
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
123127
143.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
477633
559.0 IPS |
|
|
Object Detection (SP)
|
100% |
287
22.7 IPS |
|
|
Object Detection (HP)
|
100% |
17915
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
20578
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
726
8.63 IPS |
|
|
Face Detection (HP)
|
100% |
40146
477.0 IPS |
|
|
Face Detection (Q)
|
97% |
132244
1.58 KIPS |
|
|
Depth Estimation (SP)
|
100% |
623
4.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
83405
642.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
142030
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
1108
1.42 IPS |
|
|
Style Transfer (HP)
|
98% |
98556
127.1 IPS |
|
|
Style Transfer (Q)
|
98% |
489983
631.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
292
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53164
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
129540
4.80 KIPS |
|
|
Text Classification (SP)
|
100% |
363
484.3 IPS |
|
|
Text Classification (HP)
|
100% |
3913
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
7991
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4449
76.6 IPS |
|
|
Machine Translation (Q)
|
56% |
2975
76.6 IPS |
