Samsung Galaxy S25 Ultra
Geekbench AI Score
543
Single Precision Score
26981
Half Precision Score
60162
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 05 2025 12:08 PM |
| Views | 19 |
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% |
437
81.3 IPS |
|
|
Image Classification (HP)
|
100% |
21283
3.96 KIPS |
|
|
Image Classification (Q)
|
97% |
49172
9.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
541
8.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
13496
218.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
41197
669.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
610
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
123291
143.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
477953
559.4 IPS |
|
|
Object Detection (SP)
|
100% |
340
26.9 IPS |
|
|
Object Detection (HP)
|
100% |
19076
1.51 KIPS |
|
|
Object Detection (Q)
|
85% |
22137
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
703
8.35 IPS |
|
|
Face Detection (HP)
|
100% |
39857
473.6 IPS |
|
|
Face Detection (Q)
|
97% |
132892
1.58 KIPS |
|
|
Depth Estimation (SP)
|
100% |
617
4.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
83315
641.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
141848
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
1169
1.50 IPS |
|
|
Style Transfer (HP)
|
98% |
98697
127.3 IPS |
|
|
Style Transfer (Q)
|
98% |
491142
633.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53281
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
133567
4.95 KIPS |
|
|
Text Classification (SP)
|
100% |
394
526.4 IPS |
|
|
Text Classification (HP)
|
100% |
3892
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
7887
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
682
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4453
76.7 IPS |
|
|
Machine Translation (Q)
|
56% |
2972
76.6 IPS |
