samsung SM-P613
Geekbench AI Score
513
Single Precision Score
513
Half Precision Score
988
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | smcmackin20 |
| Upload Date | October 14 2025 04:13 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-P613 |
| Model ID | samsung SM-P613 |
| Motherboard | atoll |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 15 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.32 GHz |
| Memory Information | |
|---|---|
| Size | 3.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
234
43.5 IPS |
|
|
Image Classification (HP)
|
100% |
232
43.1 IPS |
|
|
Image Classification (Q)
|
100% |
679
126.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
284
4.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
277
4.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
731
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1134
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1129
1.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
1707
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (Q)
|
83% |
675
54.5 IPS |
|
|
Face Detection (SP)
|
100% |
696
8.27 IPS |
|
|
Face Detection (HP)
|
100% |
695
8.26 IPS |
|
|
Face Detection (Q)
|
95% |
1530
18.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
919
7.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
921
7.10 IPS |
|
|
Depth Estimation (Q)
|
64% |
1563
14.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1900
2.47 IPS |
|
|
Style Transfer (HP)
|
89% |
1891
2.46 IPS |
|
|
Style Transfer (Q)
|
98% |
3897
5.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
474
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
480
17.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
954
35.3 IPS |
|
|
Text Classification (SP)
|
100% |
278
370.5 IPS |
|
|
Text Classification (HP)
|
100% |
275
366.6 IPS |
|
|
Text Classification (Q)
|
88% |
525
708.2 IPS |
|
|
Machine Translation (SP)
|
100% |
454
7.81 IPS |
|
|
Machine Translation (HP)
|
100% |
469
8.08 IPS |
|
|
Machine Translation (Q)
|
50% |
334
11.8 IPS |
