samsung SM-P625
Geekbench AI Score
515
Single Precision Score
514
Half Precision Score
1041
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 10:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-P625 |
| Model ID | samsung SM-P625 |
| Motherboard | s5e8825 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
237
44.0 IPS |
|
|
Image Classification (HP)
|
100% |
230
42.8 IPS |
|
|
Image Classification (Q)
|
100% |
730
135.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
293
4.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
293
4.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
814
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1112
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1098
1.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
1672
1.98 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (Q)
|
83% |
678
54.8 IPS |
|
|
Face Detection (SP)
|
100% |
710
8.43 IPS |
|
|
Face Detection (HP)
|
100% |
708
8.41 IPS |
|
|
Face Detection (Q)
|
95% |
1630
19.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
846
6.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
856
6.59 IPS |
|
|
Depth Estimation (Q)
|
64% |
1589
14.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1897
2.46 IPS |
|
|
Style Transfer (HP)
|
89% |
1902
2.47 IPS |
|
|
Style Transfer (Q)
|
98% |
3971
5.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
485
17.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
496
18.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
976
36.2 IPS |
|
|
Text Classification (SP)
|
100% |
296
395.2 IPS |
|
|
Text Classification (HP)
|
100% |
299
398.7 IPS |
|
|
Text Classification (Q)
|
88% |
623
839.6 IPS |
|
|
Machine Translation (SP)
|
100% |
460
7.92 IPS |
|
|
Machine Translation (HP)
|
100% |
459
7.91 IPS |
|
|
Machine Translation (Q)
|
50% |
356
12.6 IPS |
