Samsung Galaxy A73
Geekbench AI Score
923
Single Precision Score
923
Half Precision Score
2004
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 14 2025 04:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 778G |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
459
85.4 IPS |
|
|
Image Classification (HP)
|
100% |
463
86.1 IPS |
|
|
Image Classification (Q)
|
100% |
1426
265.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
516
8.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
515
8.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
1690
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2012
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2041
2.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
3764
4.46 IPS |
|
|
Object Detection (SP)
|
100% |
462
36.7 IPS |
|
|
Object Detection (HP)
|
100% |
462
36.6 IPS |
|
|
Object Detection (Q)
|
83% |
1386
111.9 IPS |
|
|
Face Detection (SP)
|
100% |
1117
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
1121
13.3 IPS |
|
|
Face Detection (Q)
|
95% |
3398
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1588
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1589
12.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3420
31.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3682
4.78 IPS |
|
|
Style Transfer (HP)
|
89% |
3687
4.79 IPS |
|
|
Style Transfer (Q)
|
98% |
8606
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
884
32.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
883
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2047
75.9 IPS |
|
|
Text Classification (SP)
|
100% |
492
657.2 IPS |
|
|
Text Classification (HP)
|
100% |
489
652.5 IPS |
|
|
Text Classification (Q)
|
88% |
898
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
711
12.2 IPS |
|
|
Machine Translation (Q)
|
50% |
453
16.1 IPS |
