samsung SM-G736U1
Geekbench AI Score
180
Single Precision Score
180
Half Precision Score
417
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | xRoach |
| Upload Date | August 27 2025 07:05 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-G736U1 |
| Model ID | samsung SM-G736U1 |
| 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% |
124
23.0 IPS |
|
|
Image Classification (HP)
|
100% |
124
23.1 IPS |
|
|
Image Classification (Q)
|
99% |
337
62.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
169
2.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
375
6.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
226
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
226
0.26 IPS |
|
|
Pose Estimation (Q)
|
98% |
860
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
124
9.82 IPS |
|
|
Object Detection (HP)
|
100% |
124
9.86 IPS |
|
|
Object Detection (Q)
|
87% |
363
29.1 IPS |
|
|
Face Detection (SP)
|
100% |
313
3.72 IPS |
|
|
Face Detection (HP)
|
100% |
316
3.76 IPS |
|
|
Face Detection (Q)
|
97% |
741
8.83 IPS |
|
|
Depth Estimation (SP)
|
100% |
276
2.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
271
2.09 IPS |
|
|
Depth Estimation (Q)
|
64% |
504
4.58 IPS |
|
|
Style Transfer (SP)
|
100% |
334
0.43 IPS |
|
|
Style Transfer (HP)
|
100% |
334
0.43 IPS |
|
|
Style Transfer (Q)
|
98% |
912
1.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
91
3.35 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
91
3.36 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
314
11.6 IPS |
|
|
Text Classification (SP)
|
100% |
117
156.6 IPS |
|
|
Text Classification (HP)
|
100% |
117
156.3 IPS |
|
|
Text Classification (Q)
|
91% |
218
292.7 IPS |
|
|
Machine Translation (SP)
|
100% |
201
3.46 IPS |
|
|
Machine Translation (HP)
|
100% |
202
3.48 IPS |
|
|
Machine Translation (Q)
|
57% |
177
4.33 IPS |
