Samsung Galaxy S25 Ultra
Geekbench AI Score
2791
Single Precision Score
2789
Half Precision Score
5009
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 11 2025 05:15 AM |
| 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% |
1980
368.2 IPS |
|
|
Image Classification (HP)
|
100% |
1974
367.0 IPS |
|
|
Image Classification (Q)
|
100% |
4387
815.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2436
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2442
39.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5173
84.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5886
6.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
5810
6.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
14727
17.5 IPS |
|
|
Object Detection (SP)
|
98% |
1803
143.5 IPS |
|
|
Object Detection (HP)
|
98% |
1810
144.0 IPS |
|
|
Object Detection (Q)
|
83% |
3295
266.2 IPS |
|
|
Face Detection (SP)
|
100% |
4545
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
4609
54.8 IPS |
|
|
Face Detection (Q)
|
95% |
9968
119.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4937
38.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4929
38.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
11371
104.1 IPS |
|
|
Style Transfer (SP)
|
89% |
12473
16.2 IPS |
|
|
Style Transfer (HP)
|
89% |
12476
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
26180
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2348
86.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2262
83.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5183
192.1 IPS |
|
|
Text Classification (SP)
|
100% |
592
790.4 IPS |
|
|
Text Classification (HP)
|
99% |
617
824.0 IPS |
|
|
Text Classification (Q)
|
88% |
1023
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1442
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1422
24.5 IPS |
|
|
Machine Translation (Q)
|
50% |
574
20.4 IPS |
