Samsung Galaxy S25 Ultra
Geekbench AI Score
522
Single Precision Score
27980
Half Precision Score
68485
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | abhimanbhau |
| Upload Date | January 09 2026 04:03 AM |
| Views | 9 |
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-S938U1 |
| 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% |
445
82.8 IPS |
|
|
Image Classification (HP)
|
100% |
21165
3.94 KIPS |
|
|
Image Classification (Q)
|
96% |
50810
9.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
556
9.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
13677
221.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
52335
851.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
633
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
123752
144.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
477876
559.3 IPS |
|
|
Object Detection (SP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (HP)
|
100% |
19246
1.53 KIPS |
|
|
Object Detection (Q)
|
85% |
28682
2.31 KIPS |
|
|
Face Detection (SP)
|
100% |
720
8.55 IPS |
|
|
Face Detection (HP)
|
100% |
39118
464.8 IPS |
|
|
Face Detection (Q)
|
97% |
132776
1.58 KIPS |
|
|
Depth Estimation (SP)
|
100% |
569
4.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
82533
635.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
172473
1.60 KIPS |
|
|
Style Transfer (SP)
|
100% |
1080
1.39 IPS |
|
|
Style Transfer (HP)
|
100% |
92810
119.3 IPS |
|
|
Style Transfer (Q)
|
98% |
482452
622.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52972
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
130569
4.84 KIPS |
|
|
Text Classification (SP)
|
100% |
396
528.1 IPS |
|
|
Text Classification (HP)
|
100% |
4399
5.87 KIPS |
|
|
Text Classification (Q)
|
93% |
11343
15.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6111
105.3 IPS |
|
|
Machine Translation (Q)
|
56% |
3806
98.0 IPS |
