samsung SM-G736B
Geekbench AI Score
389
Single Precision Score
314
Half Precision Score
713
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | daromeer |
| Upload Date | May 07 2025 09:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-G736B |
| Model ID | samsung SM-G736B |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
201
37.3 IPS |
|
|
Image Classification (HP)
|
100% |
157
29.2 IPS |
|
|
Image Classification (Q)
|
100% |
516
96.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
264
4.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
166
2.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
676
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1087
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
647
0.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
1099
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
200
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
153
12.2 IPS |
|
|
Object Detection (Q)
|
83% |
472
38.1 IPS |
|
|
Face Detection (SP)
|
100% |
357
4.24 IPS |
|
|
Face Detection (HP)
|
100% |
356
4.23 IPS |
|
|
Face Detection (Q)
|
95% |
830
9.90 IPS |
|
|
Depth Estimation (SP)
|
100% |
949
7.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
510
3.93 IPS |
|
|
Depth Estimation (Q)
|
64% |
1339
12.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1153
1.50 IPS |
|
|
Style Transfer (HP)
|
89% |
1146
1.49 IPS |
|
|
Style Transfer (Q)
|
98% |
3497
4.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
290
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
290
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
621
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
180
239.6 IPS |
|
|
Text Classification (HP)
|
100% |
179
239.1 IPS |
|
|
Text Classification (Q)
|
88% |
303
408.3 IPS |
|
|
Machine Translation (SP)
|
100% |
343
5.92 IPS |
|
|
Machine Translation (HP)
|
100% |
340
5.85 IPS |
|
|
Machine Translation (Q)
|
50% |
259
9.19 IPS |
