Samsung Galaxy S25 Ultra
Geekbench AI Score
476
Single Precision Score
27448
Half Precision Score
66470
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | abhimanbhau |
| Upload Date | January 09 2026 04:11 AM |
| Views | 5 |
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% |
448
83.2 IPS |
|
|
Image Classification (HP)
|
100% |
21324
3.97 KIPS |
|
|
Image Classification (Q)
|
96% |
50903
9.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
479
7.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
13617
220.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
52178
848.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
614
0.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
120163
140.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
475676
556.8 IPS |
|
|
Object Detection (SP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (HP)
|
100% |
18566
1.47 KIPS |
|
|
Object Detection (Q)
|
85% |
27021
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
578
6.87 IPS |
|
|
Face Detection (HP)
|
100% |
36668
435.7 IPS |
|
|
Face Detection (Q)
|
97% |
119972
1.43 KIPS |
|
|
Depth Estimation (SP)
|
100% |
567
4.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
82628
636.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
172805
1.61 KIPS |
|
|
Style Transfer (SP)
|
100% |
947
1.22 IPS |
|
|
Style Transfer (HP)
|
100% |
92694
119.2 IPS |
|
|
Style Transfer (Q)
|
98% |
482512
622.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
247
9.13 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52171
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
128893
4.78 KIPS |
|
|
Text Classification (SP)
|
100% |
364
486.3 IPS |
|
|
Text Classification (HP)
|
100% |
4397
5.87 KIPS |
|
|
Text Classification (Q)
|
93% |
11221
15.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
627
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5816
100.2 IPS |
|
|
Machine Translation (Q)
|
56% |
3409
87.8 IPS |
