SAMSUNG SM-G935A
Geekbench AI Score
367
Single Precision Score
370
Half Precision Score
595
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2025 04:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | SAMSUNG SM-G935A |
| Model ID | SAMSUNG SM-G935A |
| Motherboard | rk30sdk |
| Governor | performance |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.35 GHz |
| Memory Information | |
|---|---|
| Size | 3.61 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
173
32.2 IPS |
|
|
Image Classification (HP)
|
100% |
177
33.0 IPS |
|
|
Image Classification (Q)
|
100% |
448
83.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
183
2.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
621
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
858
1.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
869
1.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
1189
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
183
14.6 IPS |
|
|
Object Detection (HP)
|
100% |
178
14.2 IPS |
|
|
Object Detection (Q)
|
83% |
397
32.1 IPS |
|
|
Face Detection (SP)
|
100% |
554
6.59 IPS |
|
|
Face Detection (HP)
|
100% |
505
6.00 IPS |
|
|
Face Detection (Q)
|
95% |
701
8.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
620
4.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
730
5.63 IPS |
|
|
Depth Estimation (Q)
|
64% |
1101
10.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1610
2.09 IPS |
|
|
Style Transfer (HP)
|
89% |
1563
2.03 IPS |
|
|
Style Transfer (Q)
|
98% |
3092
3.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
401
14.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
410
15.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
799
29.6 IPS |
|
|
Text Classification (SP)
|
100% |
164
219.5 IPS |
|
|
Text Classification (HP)
|
100% |
164
219.5 IPS |
|
|
Text Classification (Q)
|
88% |
196
264.7 IPS |
|
|
Machine Translation (SP)
|
100% |
211
3.63 IPS |
|
|
Machine Translation (HP)
|
100% |
250
4.31 IPS |
|
|
Machine Translation (Q)
|
50% |
115
4.07 IPS |
