Samsung Galaxy S25 Ultra
Geekbench AI Score
423
Single Precision Score
26262
Half Precision Score
57788
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 19 2025 05:43 PM |
| Views | 5 |
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% |
340
63.3 IPS |
|
|
Image Classification (HP)
|
100% |
20725
3.85 KIPS |
|
|
Image Classification (Q)
|
97% |
49640
9.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
479
7.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
13563
219.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
40691
661.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
490
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
122395
142.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
473609
554.3 IPS |
|
|
Object Detection (SP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
18025
1.43 KIPS |
|
|
Object Detection (Q)
|
85% |
20352
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
573
6.80 IPS |
|
|
Face Detection (HP)
|
100% |
38024
451.8 IPS |
|
|
Face Detection (Q)
|
97% |
118719
1.42 KIPS |
|
|
Depth Estimation (SP)
|
100% |
498
3.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
80237
618.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
134685
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
905
1.16 IPS |
|
|
Style Transfer (HP)
|
98% |
98203
126.6 IPS |
|
|
Style Transfer (Q)
|
98% |
486529
627.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
246
9.09 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51903
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
125054
4.63 KIPS |
|
|
Text Classification (SP)
|
100% |
315
420.8 IPS |
|
|
Text Classification (HP)
|
100% |
3858
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
7893
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
551
9.49 IPS |
|
|
Machine Translation (HP)
|
100% |
4196
72.3 IPS |
|
|
Machine Translation (Q)
|
56% |
2778
71.6 IPS |
