Samsung Galaxy A90 5G
Geekbench AI Score
221
Single Precision Score
307
Half Precision Score
336
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | anewold |
| Upload Date | May 29 2025 11:15 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 855 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy A90 5G |
| Model ID | samsung SM-A908B |
| 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% |
152
28.3 IPS |
|
|
Image Classification (HP)
|
100% |
264
49.1 IPS |
|
|
Image Classification (Q)
|
97% |
274
51.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
124
2.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
173
2.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
165
2.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
431
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
324
0.38 IPS |
|
|
Pose Estimation (Q)
|
95% |
321
0.38 IPS |
|
|
Object Detection (SP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (HP)
|
100% |
209
16.5 IPS |
|
|
Object Detection (Q)
|
89% |
254
20.3 IPS |
|
|
Face Detection (SP)
|
100% |
481
5.71 IPS |
|
|
Face Detection (HP)
|
100% |
902
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
948
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
460
3.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
891
6.88 IPS |
|
|
Depth Estimation (Q)
|
62% |
734
6.95 IPS |
|
|
Style Transfer (SP)
|
100% |
956
1.23 IPS |
|
|
Style Transfer (HP)
|
100% |
2335
3.00 IPS |
|
|
Style Transfer (Q)
|
98% |
2315
2.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
238
8.79 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
475
17.6 IPS |
|
|
Text Classification (SP)
|
100% |
47
62.2 IPS |
|
|
Text Classification (HP)
|
100% |
45
59.6 IPS |
|
|
Text Classification (Q)
|
91% |
90
121.5 IPS |
|
|
Machine Translation (SP)
|
100% |
84
1.45 IPS |
|
|
Machine Translation (HP)
|
100% |
85
1.46 IPS |
|
|
Machine Translation (Q)
|
57% |
74
1.81 IPS |
