samsung SM-P625
Geekbench AI Score
479
Single Precision Score
473
Half Precision Score
915
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | TiggerTH |
| Upload Date | March 07 2025 06:16 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
224
41.7 IPS |
|
|
Image Classification (HP)
|
100% |
225
41.8 IPS |
|
|
Image Classification (Q)
|
100% |
684
127.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
292
4.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
291
4.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
788
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1093
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1005
1.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
1430
1.70 IPS |
|
|
Object Detection (SP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (HP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (Q)
|
83% |
595
48.0 IPS |
|
|
Face Detection (SP)
|
100% |
655
7.79 IPS |
|
|
Face Detection (HP)
|
100% |
656
7.79 IPS |
|
|
Face Detection (Q)
|
95% |
1418
16.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
874
6.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
859
6.62 IPS |
|
|
Depth Estimation (Q)
|
64% |
1368
12.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1699
2.21 IPS |
|
|
Style Transfer (HP)
|
89% |
1694
2.20 IPS |
|
|
Style Transfer (Q)
|
98% |
3439
4.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
452
16.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
448
16.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
832
30.8 IPS |
|
|
Text Classification (SP)
|
100% |
246
328.2 IPS |
|
|
Text Classification (HP)
|
100% |
242
323.1 IPS |
|
|
Text Classification (Q)
|
88% |
496
669.4 IPS |
|
|
Machine Translation (SP)
|
100% |
417
7.18 IPS |
|
|
Machine Translation (HP)
|
100% |
417
7.18 IPS |
|
|
Machine Translation (Q)
|
50% |
327
11.6 IPS |
