samsung SM-A235F
Geekbench AI Score
291
Single Precision Score
292
Half Precision Score
354
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 24 2024 08:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A235F |
| Model ID | samsung SM-A235F |
| Motherboard | bengal |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
132
24.5 IPS |
|
|
Image Classification (HP)
|
100% |
130
24.2 IPS |
|
|
Image Classification (Q)
|
100% |
231
43.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
165
2.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
169
2.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
296
4.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
650
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
647
0.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
512
0.61 IPS |
|
|
Object Detection (SP)
|
100% |
126
10.0 IPS |
|
|
Object Detection (HP)
|
100% |
127
10.1 IPS |
|
|
Object Detection (Q)
|
83% |
233
18.8 IPS |
|
|
Face Detection (SP)
|
100% |
381
4.53 IPS |
|
|
Face Detection (HP)
|
100% |
379
4.51 IPS |
|
|
Face Detection (Q)
|
95% |
553
6.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
554
4.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
557
4.29 IPS |
|
|
Depth Estimation (Q)
|
64% |
546
5.00 IPS |
|
|
Style Transfer (SP)
|
89% |
1116
1.45 IPS |
|
|
Style Transfer (HP)
|
89% |
1107
1.44 IPS |
|
|
Style Transfer (Q)
|
98% |
1438
1.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
284
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
290
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
305
11.3 IPS |
|
|
Text Classification (SP)
|
100% |
149
198.5 IPS |
|
|
Text Classification (HP)
|
100% |
148
197.6 IPS |
|
|
Text Classification (Q)
|
88% |
216
291.9 IPS |
|
|
Machine Translation (SP)
|
100% |
248
4.27 IPS |
|
|
Machine Translation (HP)
|
100% |
249
4.30 IPS |
|
|
Machine Translation (Q)
|
50% |
133
4.73 IPS |
