Samsung Galaxy A90 5G
Geekbench AI Score
667
Single Precision Score
656
Half Precision Score
1171
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | anewold |
| Upload Date | May 29 2025 10:58 AM |
| Views | 7 |
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-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% |
354
65.9 IPS |
|
|
Image Classification (HP)
|
100% |
327
60.9 IPS |
|
|
Image Classification (Q)
|
100% |
725
134.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
416
6.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
384
6.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
897
14.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1668
1.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
1696
1.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
2594
3.08 IPS |
|
|
Object Detection (SP)
|
100% |
356
28.3 IPS |
|
|
Object Detection (HP)
|
100% |
373
29.6 IPS |
|
|
Object Detection (Q)
|
83% |
1067
86.2 IPS |
|
|
Face Detection (SP)
|
100% |
1209
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
1186
14.1 IPS |
|
|
Face Detection (Q)
|
95% |
2511
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1511
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1461
11.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2528
23.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2958
3.84 IPS |
|
|
Style Transfer (HP)
|
89% |
2971
3.86 IPS |
|
|
Style Transfer (Q)
|
98% |
6157
7.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
859
31.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
853
31.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1509
55.9 IPS |
|
|
Text Classification (SP)
|
100% |
161
215.5 IPS |
|
|
Text Classification (HP)
|
100% |
159
212.9 IPS |
|
|
Text Classification (Q)
|
88% |
264
356.3 IPS |
|
|
Machine Translation (SP)
|
100% |
269
4.63 IPS |
|
|
Machine Translation (HP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (Q)
|
50% |
173
6.15 IPS |
