Samsung Galaxy S25 Ultra
Geekbench AI Score
711
Single Precision Score
27642
Half Precision Score
62433
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 01 2025 07:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S25 Ultra |
| Model ID | samsung SM-S938B |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
455
84.6 IPS |
|
|
Image Classification (HP)
|
100% |
21611
4.02 KIPS |
|
|
Image Classification (Q)
|
97% |
49478
9.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
577
9.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
13554
219.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
42260
687.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
742
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
123653
144.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
480512
562.4 IPS |
|
|
Object Detection (SP)
|
100% |
431
34.2 IPS |
|
|
Object Detection (HP)
|
100% |
19626
1.56 KIPS |
|
|
Object Detection (Q)
|
85% |
22879
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
1059
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
43748
519.8 IPS |
|
|
Face Detection (Q)
|
97% |
157783
1.88 KIPS |
|
|
Depth Estimation (SP)
|
100% |
913
7.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
83965
646.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
143950
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
1523
1.96 IPS |
|
|
Style Transfer (HP)
|
98% |
99012
127.7 IPS |
|
|
Style Transfer (Q)
|
98% |
495718
639.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
455
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54843
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134400
4.98 KIPS |
|
|
Text Classification (SP)
|
100% |
568
758.6 IPS |
|
|
Text Classification (HP)
|
100% |
3886
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
8036
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1037
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4728
81.4 IPS |
|
|
Machine Translation (Q)
|
56% |
3219
82.9 IPS |
