[2023] Phone: Samsung Galaxy A34 G5 [SM-A346B] samsung SM-A346B
Geekbench AI Score
529
Single Precision Score
579
Half Precision Score
1693
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | inc7007 |
| Upload Date | June 13 2025 10:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
374
69.5 IPS |
|
|
Image Classification (HP)
|
100% |
1254
233.1 IPS |
|
|
Image Classification (Q)
|
99% |
1745
325.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
488
7.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
99
1.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
1778
28.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2350
2.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
4312
5.03 IPS |
|
|
Pose Estimation (Q)
|
95% |
10707
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
288
22.9 IPS |
|
|
Object Detection (HP)
|
100% |
1215
96.4 IPS |
|
|
Object Detection (Q)
|
89% |
1576
126.2 IPS |
|
|
Face Detection (SP)
|
100% |
1188
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
2938
34.9 IPS |
|
|
Face Detection (Q)
|
97% |
5318
63.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
385
2.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
157
1.21 IPS |
|
|
Depth Estimation (Q)
|
64% |
1321
12.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1573
2.02 IPS |
|
|
Style Transfer (HP)
|
100% |
284
0.37 IPS |
|
|
Style Transfer (Q)
|
98% |
2858
3.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
896
33.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2907
107.4 IPS |
|
|
Image Super-Resolution (Q)
|
66% |
3898
165.8 IPS |
|
|
Text Classification (SP)
|
100% |
117
156.5 IPS |
|
|
Text Classification (HP)
|
100% |
102
135.6 IPS |
|
|
Text Classification (Q)
|
93% |
291
391.3 IPS |
|
|
Machine Translation (SP)
|
100% |
186
3.20 IPS |
|
|
Machine Translation (HP)
|
100% |
168
2.89 IPS |
|
|
Machine Translation (Q)
|
51% |
163
5.39 IPS |
