Samsung Galaxy S25 Ultra
Geekbench AI Score
509
Single Precision Score
26717
Half Precision Score
60039
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 01:25 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-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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
418
77.7 IPS |
|
|
Image Classification (HP)
|
100% |
21272
3.96 KIPS |
|
|
Image Classification (Q)
|
97% |
48584
9.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
565
9.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
13585
220.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
41758
679.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
600
0.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
122070
142.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
473311
554.0 IPS |
|
|
Object Detection (SP)
|
100% |
211
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
17908
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
21839
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
761
9.04 IPS |
|
|
Face Detection (HP)
|
100% |
41534
493.5 IPS |
|
|
Face Detection (Q)
|
97% |
139702
1.67 KIPS |
|
|
Depth Estimation (SP)
|
100% |
682
5.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
82304
634.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
140135
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
1011
1.30 IPS |
|
|
Style Transfer (HP)
|
98% |
98588
127.1 IPS |
|
|
Style Transfer (Q)
|
98% |
489097
630.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
305
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52661
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
131769
4.88 KIPS |
|
|
Text Classification (SP)
|
100% |
392
522.8 IPS |
|
|
Text Classification (HP)
|
100% |
3815
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
7848
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
628
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4333
74.6 IPS |
|
|
Machine Translation (Q)
|
56% |
2931
75.5 IPS |
