Samsung Galaxy S25 Ultra
Geekbench AI Score
711
Single Precision Score
28812
Half Precision Score
72191
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | fang1121cs |
| Upload Date | January 08 2026 12:25 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
443
82.3 IPS |
|
|
Image Classification (HP)
|
100% |
21256
3.95 KIPS |
|
|
Image Classification (Q)
|
96% |
50653
9.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
561
9.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
13563
219.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
53132
864.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
724
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
120397
140.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
480795
562.7 IPS |
|
|
Object Detection (SP)
|
100% |
409
32.4 IPS |
|
|
Object Detection (HP)
|
100% |
20516
1.63 KIPS |
|
|
Object Detection (Q)
|
85% |
31363
2.52 KIPS |
|
|
Face Detection (SP)
|
100% |
1043
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
42013
499.2 IPS |
|
|
Face Detection (Q)
|
97% |
156633
1.87 KIPS |
|
|
Depth Estimation (SP)
|
100% |
902
6.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
84011
647.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
180373
1.68 KIPS |
|
|
Style Transfer (SP)
|
100% |
1528
1.96 IPS |
|
|
Style Transfer (HP)
|
100% |
93131
119.7 IPS |
|
|
Style Transfer (Q)
|
98% |
487980
629.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
480
17.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55396
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
136657
5.06 KIPS |
|
|
Text Classification (SP)
|
100% |
637
850.7 IPS |
|
|
Text Classification (HP)
|
100% |
4465
5.96 KIPS |
|
|
Text Classification (Q)
|
93% |
12125
16.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
1025
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6809
117.3 IPS |
|
|
Machine Translation (Q)
|
56% |
4147
106.8 IPS |
