[2023] Phone: Samsung Galaxy A34 G5 [SM-A346B] samsung SM-A346B
Geekbench AI Score
249
Single Precision Score
340
Half Precision Score
346
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | inc7007 |
| Upload Date | January 19 2025 06:11 AM |
| Views | 2 |
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% |
170
31.6 IPS |
|
|
Image Classification (HP)
|
100% |
300
55.9 IPS |
|
|
Image Classification (Q)
|
99% |
285
53.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
232
3.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
374
6.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
162
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
189
0.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
188
0.22 IPS |
|
|
Object Detection (SP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
83% |
217
17.5 IPS |
|
|
Face Detection (SP)
|
100% |
549
6.53 IPS |
|
|
Face Detection (HP)
|
100% |
794
9.44 IPS |
|
|
Face Detection (Q)
|
97% |
754
8.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
311
2.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
402
3.10 IPS |
|
|
Depth Estimation (Q)
|
62% |
325
3.08 IPS |
|
|
Style Transfer (SP)
|
100% |
622
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
881
1.13 IPS |
|
|
Style Transfer (Q)
|
98% |
877
1.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
161
5.96 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
248
9.15 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
245
9.07 IPS |
|
|
Text Classification (SP)
|
100% |
189
252.9 IPS |
|
|
Text Classification (HP)
|
100% |
187
250.2 IPS |
|
|
Text Classification (Q)
|
91% |
367
493.3 IPS |
|
|
Machine Translation (SP)
|
100% |
317
5.46 IPS |
|
|
Machine Translation (HP)
|
100% |
318
5.47 IPS |
|
|
Machine Translation (Q)
|
57% |
301
7.36 IPS |
