Samsung Galaxy A90 5G
Geekbench AI Score
703
Single Precision Score
625
Half Precision Score
1207
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 09 2025 11:08 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
459
85.3 IPS |
|
|
Image Classification (HP)
|
100% |
445
82.8 IPS |
|
|
Image Classification (Q)
|
100% |
1185
220.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
518
8.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
526
8.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
1449
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1777
2.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
1754
2.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
2873
3.41 IPS |
|
|
Object Detection (SP)
|
100% |
381
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
379
30.1 IPS |
|
|
Object Detection (Q)
|
83% |
1101
89.0 IPS |
|
|
Face Detection (SP)
|
100% |
1216
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
1203
14.3 IPS |
|
|
Face Detection (Q)
|
95% |
2628
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1435
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1419
10.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2624
24.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2959
3.84 IPS |
|
|
Style Transfer (HP)
|
89% |
2996
3.89 IPS |
|
|
Style Transfer (Q)
|
98% |
6279
8.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
851
31.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
621
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
161
214.9 IPS |
|
|
Text Classification (HP)
|
100% |
158
210.8 IPS |
|
|
Text Classification (Q)
|
88% |
270
363.7 IPS |
|
|
Machine Translation (SP)
|
100% |
261
4.49 IPS |
|
|
Machine Translation (HP)
|
100% |
260
4.47 IPS |
|
|
Machine Translation (Q)
|
50% |
167
5.93 IPS |
