Samsung Galaxy S25 Ultra
Geekbench AI Score
2944
Single Precision Score
2945
Half Precision Score
5314
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 14 2025 06:53 AM |
| Views | 12 |
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-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% |
2139
397.8 IPS |
|
|
Image Classification (HP)
|
100% |
2126
395.4 IPS |
|
|
Image Classification (Q)
|
100% |
4688
871.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2499
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2537
41.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5452
88.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5629
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
5513
6.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
13732
16.3 IPS |
|
|
Object Detection (SP)
|
98% |
1698
135.1 IPS |
|
|
Object Detection (HP)
|
98% |
1767
140.6 IPS |
|
|
Object Detection (Q)
|
83% |
4087
330.1 IPS |
|
|
Face Detection (SP)
|
100% |
4597
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
4657
55.3 IPS |
|
|
Face Detection (Q)
|
95% |
10376
123.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4847
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4740
36.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
10999
100.7 IPS |
|
|
Style Transfer (SP)
|
89% |
12021
15.6 IPS |
|
|
Style Transfer (HP)
|
89% |
12043
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25038
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2524
93.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2512
92.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6763
250.6 IPS |
|
|
Text Classification (SP)
|
100% |
1011
1.35 KIPS |
|
|
Text Classification (HP)
|
99% |
1016
1.36 KIPS |
|
|
Text Classification (Q)
|
88% |
1098
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1404
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1379
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
591
21.0 IPS |
