Samsung Galaxy A73
Geekbench AI Score
864
Single Precision Score
854
Half Precision Score
1813
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 01:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 778G |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy A73 |
| Model ID | samsung SM-A736B |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
457
85.0 IPS |
|
|
Image Classification (HP)
|
100% |
464
86.3 IPS |
|
|
Image Classification (Q)
|
100% |
1421
264.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
528
8.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
507
8.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
1679
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2008
2.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1912
2.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
3762
4.46 IPS |
|
|
Object Detection (SP)
|
100% |
443
35.1 IPS |
|
|
Object Detection (HP)
|
100% |
440
34.9 IPS |
|
|
Object Detection (Q)
|
83% |
1368
110.5 IPS |
|
|
Face Detection (SP)
|
100% |
1087
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
1095
13.0 IPS |
|
|
Face Detection (Q)
|
95% |
3395
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1547
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1500
11.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2720
24.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3146
4.08 IPS |
|
|
Style Transfer (HP)
|
89% |
3141
4.08 IPS |
|
|
Style Transfer (Q)
|
98% |
6925
8.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
811
29.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
809
29.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1637
60.7 IPS |
|
|
Text Classification (SP)
|
100% |
402
537.1 IPS |
|
|
Text Classification (HP)
|
100% |
405
540.5 IPS |
|
|
Text Classification (Q)
|
88% |
741
999.2 IPS |
|
|
Machine Translation (SP)
|
100% |
630
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
624
10.7 IPS |
|
|
Machine Translation (Q)
|
50% |
403
14.3 IPS |
