samsung SM-A576B
Geekbench AI Score
1631
Single Precision Score
1634
Half Precision Score
3216
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 06 2026 08:16 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-A576B |
| Model ID | samsung SM-A576B |
| Motherboard | s5e8865 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 3 Cores @ 1.95 GHz |
| Cluster 2 | 4 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 10.98 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1368
254.5 IPS |
|
|
Image Classification (HP)
|
100% |
1381
256.9 IPS |
|
|
Image Classification (Q)
|
100% |
2566
477.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1236
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1240
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2906
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2953
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2783
3.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
7148
8.48 IPS |
|
|
Object Detection (SP)
|
98% |
1205
95.9 IPS |
|
|
Object Detection (HP)
|
98% |
1177
93.6 IPS |
|
|
Object Detection (Q)
|
83% |
2201
177.8 IPS |
|
|
Face Detection (SP)
|
100% |
1808
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
1801
21.4 IPS |
|
|
Face Detection (Q)
|
95% |
5288
63.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2361
18.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2568
19.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5824
53.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6485
8.42 IPS |
|
|
Style Transfer (HP)
|
89% |
6490
8.42 IPS |
|
|
Style Transfer (Q)
|
98% |
14548
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1305
48.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1331
49.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3627
134.4 IPS |
|
|
Text Classification (SP)
|
100% |
649
866.7 IPS |
|
|
Text Classification (HP)
|
99% |
664
886.1 IPS |
|
|
Text Classification (Q)
|
88% |
1133
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
946
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
915
15.8 IPS |
|
|
Machine Translation (Q)
|
50% |
548
19.4 IPS |
