[2023] Phone: Samsung Galaxy A34 G5 [SM-A346B] samsung SM-A346B
Geekbench AI Score
247
Single Precision Score
339
Half Precision Score
345
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | inc7007 |
| Upload Date | January 18 2025 08:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6877V/TTZA |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A346B |
| Model ID | samsung SM-A346B |
| Motherboard | a34x |
| CPU Information | |
|---|---|
| Name | ARM MT6877V/TTZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 7.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
168
31.2 IPS |
|
|
Image Classification (HP)
|
100% |
296
55.0 IPS |
|
|
Image Classification (Q)
|
99% |
280
52.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
233
3.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
391
6.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
378
6.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
162
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
190
0.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
189
0.22 IPS |
|
|
Object Detection (SP)
|
100% |
138
11.0 IPS |
|
|
Object Detection (HP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (Q)
|
83% |
212
17.1 IPS |
|
|
Face Detection (SP)
|
100% |
550
6.54 IPS |
|
|
Face Detection (HP)
|
100% |
796
9.46 IPS |
|
|
Face Detection (Q)
|
97% |
758
9.04 IPS |
|
|
Depth Estimation (SP)
|
100% |
311
2.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
400
3.09 IPS |
|
|
Depth Estimation (Q)
|
62% |
324
3.07 IPS |
|
|
Style Transfer (SP)
|
100% |
624
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
877
1.13 IPS |
|
|
Style Transfer (Q)
|
98% |
874
1.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
156
5.77 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
243
8.96 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
240
8.88 IPS |
|
|
Text Classification (SP)
|
100% |
188
251.6 IPS |
|
|
Text Classification (HP)
|
100% |
190
254.3 IPS |
|
|
Text Classification (Q)
|
91% |
369
496.5 IPS |
|
|
Machine Translation (SP)
|
100% |
320
5.52 IPS |
|
|
Machine Translation (HP)
|
100% |
320
5.52 IPS |
|
|
Machine Translation (Q)
|
57% |
304
7.42 IPS |
