Samsung Galaxy S25 Ultra
Geekbench AI Score
650
Single Precision Score
27302
Half Precision Score
62078
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 10:41 AM |
| Views | 3 |
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% |
453
84.3 IPS |
|
|
Image Classification (HP)
|
100% |
21030
3.91 KIPS |
|
|
Image Classification (Q)
|
97% |
49955
9.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
572
9.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
13523
219.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
42370
689.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
734
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
121479
141.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
477988
559.5 IPS |
|
|
Object Detection (SP)
|
100% |
341
27.1 IPS |
|
|
Object Detection (HP)
|
100% |
19320
1.53 KIPS |
|
|
Object Detection (Q)
|
85% |
22567
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
950
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
42987
510.8 IPS |
|
|
Face Detection (Q)
|
97% |
149946
1.79 KIPS |
|
|
Depth Estimation (SP)
|
100% |
865
6.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
83872
646.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
145101
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
1409
1.81 IPS |
|
|
Style Transfer (HP)
|
98% |
99009
127.7 IPS |
|
|
Style Transfer (Q)
|
98% |
491440
633.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
404
14.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53387
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134794
4.99 KIPS |
|
|
Text Classification (SP)
|
100% |
497
663.2 IPS |
|
|
Text Classification (HP)
|
100% |
3896
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
8113
10.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
897
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4644
80.0 IPS |
|
|
Machine Translation (Q)
|
56% |
3184
82.0 IPS |
