Samsung Galaxy S25 Ultra
Geekbench AI Score
687
Single Precision Score
685
Half Precision Score
1549
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 30 2025 01:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
427
79.4 IPS |
|
|
Image Classification (HP)
|
100% |
426
79.2 IPS |
|
|
Image Classification (Q)
|
99% |
1070
199.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
462
7.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
463
7.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
1097
17.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
703
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
718
0.84 IPS |
|
|
Pose Estimation (Q)
|
98% |
2959
3.46 IPS |
|
|
Object Detection (SP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (HP)
|
100% |
410
32.5 IPS |
|
|
Object Detection (Q)
|
87% |
1080
86.7 IPS |
|
|
Face Detection (SP)
|
100% |
1028
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1024
12.2 IPS |
|
|
Face Detection (Q)
|
97% |
2320
27.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
907
6.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
875
6.74 IPS |
|
|
Depth Estimation (Q)
|
64% |
2064
18.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1478
1.90 IPS |
|
|
Style Transfer (HP)
|
100% |
1480
1.90 IPS |
|
|
Style Transfer (Q)
|
98% |
4399
5.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
491
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
493
18.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1749
64.8 IPS |
|
|
Text Classification (SP)
|
100% |
577
770.3 IPS |
|
|
Text Classification (HP)
|
100% |
577
769.9 IPS |
|
|
Text Classification (Q)
|
91% |
888
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1046
18.0 IPS |
|
|
Machine Translation (Q)
|
57% |
651
15.9 IPS |
