samsung SM-P625
Geekbench AI Score
469
Single Precision Score
822
Half Precision Score
665
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 10:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
253
47.1 IPS |
|
|
Image Classification (HP)
|
100% |
511
95.1 IPS |
|
|
Image Classification (Q)
|
97% |
412
76.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
425
6.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
1003
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
849
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1976
2.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
3148
3.67 IPS |
|
|
Pose Estimation (Q)
|
95% |
3182
3.73 IPS |
|
|
Object Detection (SP)
|
100% |
256
20.3 IPS |
|
|
Object Detection (HP)
|
99% |
563
44.6 IPS |
|
|
Object Detection (Q)
|
83% |
449
36.3 IPS |
|
|
Face Detection (SP)
|
100% |
800
9.50 IPS |
|
|
Face Detection (HP)
|
100% |
1445
17.2 IPS |
|
|
Face Detection (Q)
|
96% |
1279
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1060
8.16 IPS |
|
|
Depth Estimation (HP)
|
98% |
2031
15.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
1557
14.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2817
3.62 IPS |
|
|
Style Transfer (HP)
|
100% |
6318
8.12 IPS |
|
|
Style Transfer (Q)
|
98% |
6303
8.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
502
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
877
32.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
889
33.0 IPS |
|
|
Text Classification (SP)
|
35% |
22
204.1 IPS |
|
|
Text Classification (HP)
|
29% |
19
324.8 IPS |
|
|
Text Classification (Q)
|
32% |
25
318.6 IPS |
|
|
Machine Translation (SP)
|
100% |
364
6.27 IPS |
|
|
Machine Translation (HP)
|
100% |
504
8.68 IPS |
|
|
Machine Translation (Q)
|
43% |
122
7.10 IPS |
