[2023] Phone: Samsung Galaxy A34 G5 [SM-A346B] samsung SM-A346B
Geekbench AI Score
220
Single Precision Score
298
Half Precision Score
325
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | inc7007 |
| Upload Date | June 13 2025 10:43 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A346B |
| Model ID | samsung SM-A346B |
| Motherboard | a34x |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| 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 | 7.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
167
31.0 IPS |
|
|
Image Classification (HP)
|
100% |
291
54.2 IPS |
|
|
Image Classification (Q)
|
99% |
275
51.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
269
4.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
410
6.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
389
6.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
157
0.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
187
0.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
185
0.22 IPS |
|
|
Object Detection (SP)
|
100% |
133
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (Q)
|
83% |
226
18.3 IPS |
|
|
Face Detection (SP)
|
100% |
593
7.04 IPS |
|
|
Face Detection (HP)
|
100% |
915
10.9 IPS |
|
|
Face Detection (Q)
|
97% |
832
9.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
302
2.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
400
3.08 IPS |
|
|
Depth Estimation (Q)
|
62% |
322
3.05 IPS |
|
|
Style Transfer (SP)
|
100% |
614
0.79 IPS |
|
|
Style Transfer (HP)
|
100% |
866
1.11 IPS |
|
|
Style Transfer (Q)
|
98% |
863
1.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
153
5.65 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
232
8.58 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
224
8.30 IPS |
|
|
Text Classification (SP)
|
100% |
102
136.5 IPS |
|
|
Text Classification (HP)
|
100% |
101
134.8 IPS |
|
|
Text Classification (Q)
|
91% |
268
360.3 IPS |
|
|
Machine Translation (SP)
|
100% |
166
2.87 IPS |
|
|
Machine Translation (HP)
|
100% |
167
2.88 IPS |
|
|
Machine Translation (Q)
|
57% |
218
5.33 IPS |
