Samsung Galaxy A33
Geekbench AI Score
210
Single Precision Score
267
Half Precision Score
325
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Willbeonekenobi |
| Upload Date | November 13 2025 09:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
81
15.1 IPS |
|
|
Image Classification (HP)
|
100% |
82
15.2 IPS |
|
|
Image Classification (Q)
|
99% |
214
39.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
153
2.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
210
3.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
241
3.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
682
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
2184
2.55 IPS |
|
|
Pose Estimation (Q)
|
98% |
799
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
114
9.04 IPS |
|
|
Object Detection (HP)
|
100% |
115
9.13 IPS |
|
|
Object Detection (Q)
|
87% |
331
26.5 IPS |
|
|
Face Detection (SP)
|
100% |
294
3.50 IPS |
|
|
Face Detection (HP)
|
100% |
295
3.51 IPS |
|
|
Face Detection (Q)
|
97% |
665
7.93 IPS |
|
|
Depth Estimation (SP)
|
100% |
241
1.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
243
1.87 IPS |
|
|
Depth Estimation (Q)
|
64% |
606
5.50 IPS |
|
|
Style Transfer (SP)
|
100% |
536
0.69 IPS |
|
|
Style Transfer (HP)
|
100% |
409
0.53 IPS |
|
|
Style Transfer (Q)
|
98% |
377
0.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
238
8.80 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
323
11.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
430
15.9 IPS |
|
|
Text Classification (SP)
|
100% |
74
98.2 IPS |
|
|
Text Classification (HP)
|
100% |
167
222.9 IPS |
|
|
Text Classification (Q)
|
91% |
56
75.8 IPS |
|
|
Machine Translation (SP)
|
100% |
271
4.68 IPS |
|
|
Machine Translation (HP)
|
100% |
275
4.73 IPS |
|
|
Machine Translation (Q)
|
57% |
264
6.45 IPS |
