Samsung Galaxy A35
Geekbench AI Score
492
Single Precision Score
686
Half Precision Score
554
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | February 25 2026 06:20 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
267
49.7 IPS |
|
|
Image Classification (HP)
|
100% |
194
36.1 IPS |
|
|
Image Classification (Q)
|
97% |
173
32.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
550
8.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
1149
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1120
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2358
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
4660
5.44 IPS |
|
|
Pose Estimation (Q)
|
95% |
4564
5.35 IPS |
|
|
Object Detection (SP)
|
100% |
346
27.5 IPS |
|
|
Object Detection (HP)
|
99% |
480
38.1 IPS |
|
|
Object Detection (Q)
|
83% |
447
36.1 IPS |
|
|
Face Detection (SP)
|
100% |
1139
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
1853
22.0 IPS |
|
|
Face Detection (Q)
|
96% |
1714
20.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1561
12.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2792
21.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
2184
20.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3705
4.76 IPS |
|
|
Style Transfer (HP)
|
100% |
8593
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
8498
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
807
29.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1067
39.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1047
38.8 IPS |
|
|
Text Classification (SP)
|
35% |
6
55.5 IPS |
|
|
Text Classification (HP)
|
29% |
6
97.1 IPS |
|
|
Text Classification (Q)
|
29% |
5
88.3 IPS |
|
|
Machine Translation (SP)
|
100% |
218
3.75 IPS |
|
|
Machine Translation (HP)
|
100% |
164
2.83 IPS |
|
|
Machine Translation (Q)
|
43% |
42
2.42 IPS |
