samsung SM-A525M
Geekbench AI Score
448
Single Precision Score
447
Half Precision Score
811
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | September 01 2024 10:12 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A525M |
| Model ID | samsung SM-A525M |
| 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 | 5.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
198
36.8 IPS |
|
|
Image Classification (HP)
|
100% |
199
36.9 IPS |
|
|
Image Classification (Q)
|
100% |
548
101.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
248
4.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
247
4.01 IPS |
|
|
Image Segmentation (Q)
|
98% |
610
9.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
979
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
981
1.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
1338
1.59 IPS |
|
|
Object Detection (SP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (HP)
|
100% |
196
15.5 IPS |
|
|
Object Detection (Q)
|
87% |
560
44.9 IPS |
|
|
Face Detection (SP)
|
100% |
631
7.49 IPS |
|
|
Face Detection (HP)
|
100% |
630
7.48 IPS |
|
|
Face Detection (Q)
|
95% |
1257
15.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
828
6.38 IPS |
|
|
Depth Estimation (HP)
|
100% |
839
6.47 IPS |
|
|
Depth Estimation (Q)
|
75% |
1428
11.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1591
2.06 IPS |
|
|
Style Transfer (HP)
|
89% |
1590
2.06 IPS |
|
|
Style Transfer (Q)
|
98% |
3109
4.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
442
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
435
16.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
764
28.3 IPS |
|
|
Text Classification (SP)
|
100% |
229
305.1 IPS |
|
|
Text Classification (HP)
|
100% |
229
305.6 IPS |
|
|
Text Classification (Q)
|
88% |
401
540.7 IPS |
|
|
Machine Translation (SP)
|
100% |
409
7.05 IPS |
|
|
Machine Translation (HP)
|
100% |
405
6.98 IPS |
|
|
Machine Translation (Q)
|
50% |
288
10.2 IPS |
