Samsung Galaxy A90 5G
Geekbench AI Score
366
Single Precision Score
432
Half Precision Score
617
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 07:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 855 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy A90 5G |
| Model ID | samsung SM-A908N |
| Motherboard | msmnile |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 5.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
401
74.6 IPS |
|
|
Image Classification (HP)
|
100% |
555
103.2 IPS |
|
|
Image Classification (Q)
|
97% |
1103
205.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
478
7.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
192
3.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
1038
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1249
1.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2985
3.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
10452
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
398
31.6 IPS |
|
|
Object Detection (HP)
|
100% |
143
11.3 IPS |
|
|
Object Detection (Q)
|
85% |
1144
92.1 IPS |
|
|
Face Detection (SP)
|
100% |
1072
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
356
4.22 IPS |
|
|
Face Detection (Q)
|
97% |
2977
35.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
453
3.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
302
2.32 IPS |
|
|
Depth Estimation (Q)
|
22% |
216
49.4 IPS |
|
|
Style Transfer (SP)
|
100% |
732
0.94 IPS |
|
|
Style Transfer (HP)
|
100% |
496
0.64 IPS |
|
|
Style Transfer (Q)
|
98% |
3467
4.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
675
24.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1320
48.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3913
145.0 IPS |
|
|
Text Classification (SP)
|
71% |
8
11.9 IPS |
|
|
Text Classification (HP)
|
100% |
203
271.4 IPS |
|
|
Text Classification (Q)
|
93% |
67
90.1 IPS |
|
|
Machine Translation (SP)
|
100% |
236
4.06 IPS |
|
|
Machine Translation (HP)
|
100% |
352
6.06 IPS |
|
|
Machine Translation (Q)
|
0
|
