Samsung Galaxy S25 Ultra
Geekbench AI Score
1302
Single Precision Score
1329
Half Precision Score
2172
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 07 2025 11:18 AM |
| Views | 4 |
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% |
1133
210.7 IPS |
|
|
Image Classification (HP)
|
100% |
1006
187.2 IPS |
|
|
Image Classification (Q)
|
100% |
1622
301.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1047
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1076
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2457
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4042
4.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3266
3.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
5215
6.18 IPS |
|
|
Object Detection (SP)
|
98% |
648
51.5 IPS |
|
|
Object Detection (HP)
|
98% |
627
49.9 IPS |
|
|
Object Detection (Q)
|
83% |
1228
99.2 IPS |
|
|
Face Detection (SP)
|
100% |
1791
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
2181
25.9 IPS |
|
|
Face Detection (Q)
|
95% |
4505
53.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2164
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2178
16.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4468
40.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5551
7.21 IPS |
|
|
Style Transfer (HP)
|
89% |
5316
6.90 IPS |
|
|
Style Transfer (Q)
|
98% |
10048
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
923
34.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1026
37.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3021
112.0 IPS |
|
|
Text Classification (SP)
|
100% |
289
386.0 IPS |
|
|
Text Classification (HP)
|
99% |
400
534.3 IPS |
|
|
Text Classification (Q)
|
88% |
593
799.6 IPS |
|
|
Machine Translation (SP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
751
12.9 IPS |
|
|
Machine Translation (Q)
|
50% |
253
8.97 IPS |
