Samsung Galaxy S25 Ultra
Geekbench AI Score
2739
Single Precision Score
2725
Half Precision Score
4941
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 14 2025 12:10 AM |
| Views | 1 |
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% |
1959
364.2 IPS |
|
|
Image Classification (HP)
|
100% |
1959
364.3 IPS |
|
|
Image Classification (Q)
|
100% |
4312
802.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2458
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2436
39.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5354
87.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5397
6.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
5271
6.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
13441
15.9 IPS |
|
|
Object Detection (SP)
|
98% |
1651
131.4 IPS |
|
|
Object Detection (HP)
|
98% |
1617
128.7 IPS |
|
|
Object Detection (Q)
|
83% |
3760
303.7 IPS |
|
|
Face Detection (SP)
|
100% |
4221
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
4232
50.3 IPS |
|
|
Face Detection (Q)
|
95% |
9052
108.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4437
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4501
34.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
10162
93.1 IPS |
|
|
Style Transfer (SP)
|
89% |
10467
13.6 IPS |
|
|
Style Transfer (HP)
|
89% |
11153
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
24542
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2292
84.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2322
85.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6434
238.4 IPS |
|
|
Text Classification (SP)
|
100% |
950
1.27 KIPS |
|
|
Text Classification (HP)
|
99% |
905
1.21 KIPS |
|
|
Text Classification (Q)
|
88% |
987
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1298
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (Q)
|
50% |
519
18.4 IPS |
