Samsung Galaxy A35
Geekbench AI Score
734
Single Precision Score
1244
Half Precision Score
1571
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | February 25 2026 06:13 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 1380 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy A35 |
| Model ID | samsung SM-A356B |
| Motherboard | s5e8835 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
425
79.1 IPS |
|
|
Image Classification (HP)
|
100% |
881
163.9 IPS |
|
|
Image Classification (Q)
|
99% |
1345
250.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
490
7.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
938
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1578
25.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1712
2.00 IPS |
|
|
Pose Estimation (HP)
|
92% |
3018
3.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
2672
3.13 IPS |
|
|
Object Detection (SP)
|
100% |
320
25.4 IPS |
|
|
Object Detection (HP)
|
97% |
627
49.9 IPS |
|
|
Object Detection (Q)
|
85% |
979
78.9 IPS |
|
|
Face Detection (SP)
|
100% |
895
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
1520
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
2405
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1249
9.62 IPS |
|
|
Depth Estimation (HP)
|
98% |
2254
17.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2405
22.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2673
3.47 IPS |
|
|
Style Transfer (HP)
|
88% |
3551
4.61 IPS |
|
|
Style Transfer (Q)
|
98% |
6147
7.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
681
25.1 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1271
47.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1505
55.8 IPS |
|
|
Text Classification (SP)
|
100% |
346
461.6 IPS |
|
|
Text Classification (HP)
|
100% |
560
747.4 IPS |
|
|
Text Classification (Q)
|
93% |
656
881.4 IPS |
|
|
Machine Translation (SP)
|
100% |
571
9.83 IPS |
|
|
Machine Translation (HP)
|
96% |
656
11.3 IPS |
|
|
Machine Translation (Q)
|
55% |
472
12.7 IPS |
