Samsung Galaxy S25 Ultra
Geekbench AI Score
601
Single Precision Score
27364
Half Precision Score
61730
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 02:07 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-S938U |
| 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% |
442
82.2 IPS |
|
|
Image Classification (HP)
|
100% |
21077
3.92 KIPS |
|
|
Image Classification (Q)
|
97% |
49939
9.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
550
8.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
13623
220.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
42362
688.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
635
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
123432
144.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
478048
559.5 IPS |
|
|
Object Detection (SP)
|
100% |
311
24.7 IPS |
|
|
Object Detection (HP)
|
100% |
19249
1.53 KIPS |
|
|
Object Detection (Q)
|
85% |
22461
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
899
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
42254
502.1 IPS |
|
|
Face Detection (Q)
|
97% |
146570
1.75 KIPS |
|
|
Depth Estimation (SP)
|
100% |
814
6.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
83897
646.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
144507
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
1240
1.59 IPS |
|
|
Style Transfer (HP)
|
98% |
98797
127.4 IPS |
|
|
Style Transfer (Q)
|
98% |
491111
633.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
341
12.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53706
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135221
5.01 KIPS |
|
|
Text Classification (SP)
|
100% |
497
662.9 IPS |
|
|
Text Classification (HP)
|
100% |
3925
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
8084
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4674
80.5 IPS |
|
|
Machine Translation (Q)
|
56% |
3111
80.1 IPS |
