Samsung Galaxy S25 Ultra
Geekbench AI Score
679
Single Precision Score
681
Half Precision Score
1478
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | fang1121cs |
| Upload Date | January 08 2026 12:33 PM |
| Views | 9 |
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-S9380 |
| 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% |
429
79.8 IPS |
|
|
Image Classification (HP)
|
100% |
421
78.2 IPS |
|
|
Image Classification (Q)
|
99% |
1051
196.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
537
8.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
546
8.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
1093
17.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
720
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
708
0.83 IPS |
|
|
Pose Estimation (Q)
|
98% |
2666
3.12 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (Q)
|
87% |
1004
80.5 IPS |
|
|
Face Detection (SP)
|
100% |
1022
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
1019
12.1 IPS |
|
|
Face Detection (Q)
|
97% |
2405
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
877
6.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
804
6.19 IPS |
|
|
Depth Estimation (Q)
|
64% |
1810
16.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1452
1.87 IPS |
|
|
Style Transfer (HP)
|
100% |
1486
1.91 IPS |
|
|
Style Transfer (Q)
|
98% |
3914
5.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
473
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
485
17.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1577
58.4 IPS |
|
|
Text Classification (SP)
|
100% |
577
770.1 IPS |
|
|
Text Classification (HP)
|
100% |
576
769.0 IPS |
|
|
Text Classification (Q)
|
91% |
889
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
937
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1027
17.7 IPS |
|
|
Machine Translation (Q)
|
57% |
678
16.6 IPS |
