Samsung Galaxy S25 Ultra
Geekbench AI Score
539
Single Precision Score
26906
Half Precision Score
60576
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2025 10:44 PM |
| Views | 1 |
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% |
419
77.9 IPS |
|
|
Image Classification (HP)
|
100% |
20279
3.77 KIPS |
|
|
Image Classification (Q)
|
97% |
48917
9.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
543
8.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
13498
218.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
40960
666.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
596
0.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
123166
143.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
476611
557.8 IPS |
|
|
Object Detection (SP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (HP)
|
100% |
18884
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
21769
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
809
9.61 IPS |
|
|
Face Detection (HP)
|
100% |
41371
491.6 IPS |
|
|
Face Detection (Q)
|
97% |
139325
1.66 KIPS |
|
|
Depth Estimation (SP)
|
100% |
660
5.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
82797
637.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
142762
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
1174
1.51 IPS |
|
|
Style Transfer (HP)
|
98% |
98568
127.1 IPS |
|
|
Style Transfer (Q)
|
98% |
489654
631.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
317
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52904
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134239
4.97 KIPS |
|
|
Text Classification (SP)
|
100% |
395
527.8 IPS |
|
|
Text Classification (HP)
|
100% |
3866
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
7989
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
785
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4523
77.9 IPS |
|
|
Machine Translation (Q)
|
56% |
3064
78.9 IPS |
