Samsung Galaxy S25 Ultra
Geekbench AI Score
517
Single Precision Score
26793
Half Precision Score
60381
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 16 2025 02:11 PM |
| 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-S9380 |
| 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% |
383
71.3 IPS |
|
|
Image Classification (HP)
|
100% |
20972
3.90 KIPS |
|
|
Image Classification (Q)
|
97% |
49872
9.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
507
8.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
13538
219.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
41874
680.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
533
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
122964
143.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
470775
551.0 IPS |
|
|
Object Detection (SP)
|
100% |
247
19.6 IPS |
|
|
Object Detection (HP)
|
100% |
18117
1.44 KIPS |
|
|
Object Detection (Q)
|
85% |
21114
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
759
9.02 IPS |
|
|
Face Detection (HP)
|
100% |
40785
484.6 IPS |
|
|
Face Detection (Q)
|
97% |
139478
1.66 KIPS |
|
|
Depth Estimation (SP)
|
100% |
702
5.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
82632
636.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
141014
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
1098
1.41 IPS |
|
|
Style Transfer (HP)
|
98% |
98577
127.1 IPS |
|
|
Style Transfer (Q)
|
98% |
489268
630.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52736
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
133354
4.94 KIPS |
|
|
Text Classification (SP)
|
100% |
395
527.3 IPS |
|
|
Text Classification (HP)
|
100% |
3861
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
8013
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4457
76.8 IPS |
|
|
Machine Translation (Q)
|
56% |
3018
77.7 IPS |
