Samsung Galaxy A33
Geekbench AI Score
436
Single Precision Score
768
Half Precision Score
628
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Willbeonekenobi |
| Upload Date | November 13 2025 09:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Samsung Exynos 1280 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy A33 |
| Model ID | samsung SM-A336E |
| Motherboard | s5e8825 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
219
40.7 IPS |
|
|
Image Classification (HP)
|
100% |
405
75.3 IPS |
|
|
Image Classification (Q)
|
97% |
361
67.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
336
5.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
828
13.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
767
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1855
2.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
3105
3.62 IPS |
|
|
Pose Estimation (Q)
|
95% |
3036
3.56 IPS |
|
|
Object Detection (SP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (HP)
|
99% |
512
40.6 IPS |
|
|
Object Detection (Q)
|
83% |
430
34.7 IPS |
|
|
Face Detection (SP)
|
100% |
791
9.39 IPS |
|
|
Face Detection (HP)
|
100% |
1383
16.4 IPS |
|
|
Face Detection (Q)
|
96% |
1365
16.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1102
8.49 IPS |
|
|
Depth Estimation (HP)
|
98% |
1905
14.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
1481
14.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2736
3.52 IPS |
|
|
Style Transfer (HP)
|
100% |
6327
8.13 IPS |
|
|
Style Transfer (Q)
|
98% |
6176
7.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
498
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1098
40.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
864
32.0 IPS |
|
|
Text Classification (SP)
|
35% |
19
171.5 IPS |
|
|
Text Classification (HP)
|
29% |
17
299.6 IPS |
|
|
Text Classification (Q)
|
32% |
22
289.7 IPS |
|
|
Machine Translation (SP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (HP)
|
100% |
435
7.49 IPS |
|
|
Machine Translation (Q)
|
43% |
112
6.49 IPS |
