samsung SM-P620
Geekbench AI Score
521
Single Precision Score
515
Half Precision Score
1039
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Quiltermatt |
| Upload Date | April 22 2025 08:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-P620 |
| Model ID | samsung SM-P620 |
| 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 | 3.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
246
45.7 IPS |
|
|
Image Classification (HP)
|
100% |
228
42.5 IPS |
|
|
Image Classification (Q)
|
100% |
749
139.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
296
4.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
839
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1114
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1113
1.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
1660
1.97 IPS |
|
|
Object Detection (SP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (HP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (Q)
|
83% |
680
54.9 IPS |
|
|
Face Detection (SP)
|
100% |
708
8.42 IPS |
|
|
Face Detection (HP)
|
100% |
712
8.46 IPS |
|
|
Face Detection (Q)
|
95% |
1627
19.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
910
7.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
863
6.65 IPS |
|
|
Depth Estimation (Q)
|
64% |
1582
14.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1899
2.46 IPS |
|
|
Style Transfer (HP)
|
89% |
1909
2.48 IPS |
|
|
Style Transfer (Q)
|
98% |
3962
5.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
488
18.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
487
18.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
967
35.8 IPS |
|
|
Text Classification (SP)
|
100% |
292
389.2 IPS |
|
|
Text Classification (HP)
|
100% |
294
393.0 IPS |
|
|
Text Classification (Q)
|
88% |
601
809.9 IPS |
|
|
Machine Translation (SP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (HP)
|
100% |
464
7.99 IPS |
|
|
Machine Translation (Q)
|
50% |
351
12.5 IPS |
