samsung SM-P613
Geekbench AI Score
180
Single Precision Score
273
Half Precision Score
272
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | cadillacthewolf |
| Upload Date | January 16 2026 11:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 3.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
103
19.1 IPS |
|
|
Image Classification (HP)
|
100% |
165
30.7 IPS |
|
|
Image Classification (Q)
|
97% |
171
31.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
130
2.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
228
3.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
226
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
200
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
276
0.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
274
0.32 IPS |
|
|
Object Detection (SP)
|
100% |
92
7.32 IPS |
|
|
Object Detection (HP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (Q)
|
89% |
142
11.4 IPS |
|
|
Face Detection (SP)
|
100% |
242
2.88 IPS |
|
|
Face Detection (HP)
|
100% |
440
5.22 IPS |
|
|
Face Detection (Q)
|
97% |
454
5.42 IPS |
|
|
Depth Estimation (SP)
|
100% |
241
1.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
410
3.16 IPS |
|
|
Depth Estimation (Q)
|
62% |
337
3.19 IPS |
|
|
Style Transfer (SP)
|
100% |
475
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
1023
1.32 IPS |
|
|
Style Transfer (Q)
|
98% |
1016
1.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
122
4.50 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
201
7.43 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
199
7.37 IPS |
|
|
Text Classification (SP)
|
100% |
163
217.1 IPS |
|
|
Text Classification (HP)
|
100% |
162
216.0 IPS |
|
|
Text Classification (Q)
|
91% |
271
364.3 IPS |
|
|
Machine Translation (SP)
|
100% |
267
4.59 IPS |
|
|
Machine Translation (HP)
|
100% |
271
4.66 IPS |
|
|
Machine Translation (Q)
|
57% |
180
4.39 IPS |
