Samsung Galaxy S25 Ultra
Geekbench AI Score
2744
Single Precision Score
2701
Half Precision Score
4674
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 03 2025 08:29 PM |
| Views | 4 |
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-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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2063
383.7 IPS |
|
|
Image Classification (HP)
|
100% |
2040
379.3 IPS |
|
|
Image Classification (Q)
|
100% |
4444
826.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2456
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2440
39.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5334
86.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5529
6.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
5105
5.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
13320
15.8 IPS |
|
|
Object Detection (SP)
|
98% |
1722
137.1 IPS |
|
|
Object Detection (HP)
|
98% |
1685
134.1 IPS |
|
|
Object Detection (Q)
|
83% |
4036
326.0 IPS |
|
|
Face Detection (SP)
|
100% |
4347
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
4060
48.2 IPS |
|
|
Face Detection (Q)
|
95% |
8981
107.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4410
34.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4663
36.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
10627
97.3 IPS |
|
|
Style Transfer (SP)
|
89% |
11337
14.7 IPS |
|
|
Style Transfer (HP)
|
89% |
11395
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
24736
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2260
83.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2161
79.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5156
191.0 IPS |
|
|
Text Classification (SP)
|
100% |
783
1.04 KIPS |
|
|
Text Classification (HP)
|
99% |
780
1.04 KIPS |
|
|
Text Classification (Q)
|
88% |
573
772.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1309
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1329
22.9 IPS |
|
|
Machine Translation (Q)
|
50% |
561
19.9 IPS |
