Samsung Galaxy S25 Ultra
Geekbench AI Score
601
Single Precision Score
27116
Half Precision Score
61451
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | October 20 2025 11:57 AM |
| Views | 11 |
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% |
444
82.6 IPS |
|
|
Image Classification (HP)
|
100% |
20950
3.90 KIPS |
|
|
Image Classification (Q)
|
97% |
50054
9.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
556
9.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
13640
221.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
41779
679.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
637
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
120509
140.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
475992
557.1 IPS |
|
|
Object Detection (SP)
|
100% |
272
21.6 IPS |
|
|
Object Detection (HP)
|
100% |
19139
1.52 KIPS |
|
|
Object Detection (Q)
|
85% |
22125
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
938
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
42378
503.5 IPS |
|
|
Face Detection (Q)
|
97% |
147122
1.75 KIPS |
|
|
Depth Estimation (SP)
|
100% |
815
6.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
82663
636.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
144924
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
1339
1.72 IPS |
|
|
Style Transfer (HP)
|
98% |
98910
127.5 IPS |
|
|
Style Transfer (Q)
|
98% |
491427
633.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
391
14.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53591
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135058
5.00 KIPS |
|
|
Text Classification (SP)
|
100% |
459
612.8 IPS |
|
|
Text Classification (HP)
|
100% |
3901
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
8037
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4503
77.6 IPS |
|
|
Machine Translation (Q)
|
56% |
3066
79.0 IPS |
