Samsung Galaxy S25
Geekbench AI Score
417
Single Precision Score
26306
Half Precision Score
57520
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 09 2025 09:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S25 |
| Model ID | samsung SM-S931B |
| 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% |
421
78.2 IPS |
|
|
Image Classification (HP)
|
100% |
20707
3.85 KIPS |
|
|
Image Classification (Q)
|
97% |
48916
9.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
404
6.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
13592
220.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
38832
631.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
412
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
122208
142.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
474786
555.7 IPS |
|
|
Object Detection (SP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
17988
1.43 KIPS |
|
|
Object Detection (Q)
|
85% |
20403
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
575
6.83 IPS |
|
|
Face Detection (HP)
|
100% |
38011
451.7 IPS |
|
|
Face Detection (Q)
|
97% |
119996
1.43 KIPS |
|
|
Depth Estimation (SP)
|
100% |
496
3.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
80407
619.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
133897
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
900
1.16 IPS |
|
|
Style Transfer (HP)
|
98% |
98450
126.9 IPS |
|
|
Style Transfer (Q)
|
98% |
489094
630.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
245
9.05 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52189
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
125764
4.66 KIPS |
|
|
Text Classification (SP)
|
100% |
315
420.4 IPS |
|
|
Text Classification (HP)
|
100% |
3875
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
7748
10.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
550
9.47 IPS |
|
|
Machine Translation (HP)
|
100% |
4216
72.6 IPS |
|
|
Machine Translation (Q)
|
56% |
2814
72.5 IPS |
