Samsung Galaxy S25 Ultra
Geekbench AI Score
2618
Single Precision Score
2609
Half Precision Score
4314
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | gsidedgdb |
| Upload Date | July 10 2025 09:29 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S25 Ultra |
| Model ID | samsung SM-S938U |
| 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% |
2099
390.3 IPS |
|
|
Image Classification (HP)
|
100% |
2036
378.7 IPS |
|
|
Image Classification (Q)
|
100% |
4621
859.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2428
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4095
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5156
6.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
5082
5.93 IPS |
|
|
Pose Estimation (Q)
|
84% |
12620
15.0 IPS |
|
|
Object Detection (SP)
|
98% |
1618
128.8 IPS |
|
|
Object Detection (HP)
|
98% |
1605
127.7 IPS |
|
|
Object Detection (Q)
|
83% |
3698
298.7 IPS |
|
|
Face Detection (SP)
|
100% |
4250
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
4037
48.0 IPS |
|
|
Face Detection (Q)
|
95% |
8794
105.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4535
35.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4520
34.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
10461
95.8 IPS |
|
|
Style Transfer (SP)
|
89% |
12061
15.7 IPS |
|
|
Style Transfer (HP)
|
89% |
11280
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
23952
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1978
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1855
68.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3976
147.3 IPS |
|
|
Text Classification (SP)
|
100% |
575
767.1 IPS |
|
|
Text Classification (HP)
|
99% |
729
972.9 IPS |
|
|
Text Classification (Q)
|
88% |
575
775.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1347
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1365
23.5 IPS |
|
|
Machine Translation (Q)
|
50% |
502
17.8 IPS |
