samsung SM-P625
Geekbench AI Score
241
Single Precision Score
332
Half Precision Score
340
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | TiggerTH |
| Upload Date | March 07 2025 06:39 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
170
31.6 IPS |
|
|
Image Classification (HP)
|
100% |
306
57.0 IPS |
|
|
Image Classification (Q)
|
99% |
293
54.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
237
3.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
394
6.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
385
6.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
153
0.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
180
0.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
179
0.21 IPS |
|
|
Object Detection (SP)
|
100% |
143
11.3 IPS |
|
|
Object Detection (HP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (Q)
|
83% |
233
18.8 IPS |
|
|
Face Detection (SP)
|
100% |
558
6.63 IPS |
|
|
Face Detection (HP)
|
100% |
829
9.85 IPS |
|
|
Face Detection (Q)
|
97% |
778
9.28 IPS |
|
|
Depth Estimation (SP)
|
100% |
295
2.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
381
2.93 IPS |
|
|
Depth Estimation (Q)
|
62% |
308
2.92 IPS |
|
|
Style Transfer (SP)
|
100% |
596
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
841
1.08 IPS |
|
|
Style Transfer (Q)
|
98% |
838
1.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
159
5.87 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
245
9.05 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
244
9.04 IPS |
|
|
Text Classification (SP)
|
100% |
171
228.5 IPS |
|
|
Text Classification (HP)
|
100% |
173
230.4 IPS |
|
|
Text Classification (Q)
|
91% |
339
455.9 IPS |
|
|
Machine Translation (SP)
|
100% |
283
4.88 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (Q)
|
57% |
270
6.59 IPS |
