samsung SM-P625
Geekbench AI Score
489
Single Precision Score
478
Half Precision Score
933
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | TiggerTH |
| Upload Date | September 01 2024 04:04 PM |
| Views | 14 |
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% |
219
40.8 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.7 IPS |
|
|
Image Classification (Q)
|
100% |
694
129.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
293
4.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
285
4.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
793
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1103
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1008
1.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
1427
1.69 IPS |
|
|
Object Detection (SP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (Q)
|
87% |
638
51.2 IPS |
|
|
Face Detection (SP)
|
100% |
676
8.03 IPS |
|
|
Face Detection (HP)
|
100% |
660
7.84 IPS |
|
|
Face Detection (Q)
|
95% |
1427
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
853
6.57 IPS |
|
|
Depth Estimation (HP)
|
100% |
829
6.39 IPS |
|
|
Depth Estimation (Q)
|
75% |
1553
12.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1772
2.30 IPS |
|
|
Style Transfer (HP)
|
89% |
1772
2.30 IPS |
|
|
Style Transfer (Q)
|
98% |
3437
4.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
457
16.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
831
30.8 IPS |
|
|
Text Classification (SP)
|
100% |
245
327.5 IPS |
|
|
Text Classification (HP)
|
100% |
241
321.1 IPS |
|
|
Text Classification (Q)
|
88% |
489
659.0 IPS |
|
|
Machine Translation (SP)
|
100% |
437
7.53 IPS |
|
|
Machine Translation (HP)
|
100% |
434
7.48 IPS |
|
|
Machine Translation (Q)
|
50% |
324
11.5 IPS |
