samsung SM-G736B
Geekbench AI Score
172
Single Precision Score
176
Half Precision Score
419
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | daromeer |
| Upload Date | May 08 2025 06:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
104
19.3 IPS |
|
|
Image Classification (HP)
|
100% |
101
18.7 IPS |
|
|
Image Classification (Q)
|
99% |
273
50.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
135
2.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
136
2.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
300
4.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
182
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
182
0.21 IPS |
|
|
Pose Estimation (Q)
|
98% |
719
0.84 IPS |
|
|
Object Detection (SP)
|
100% |
100
7.91 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.70 IPS |
|
|
Object Detection (Q)
|
87% |
361
28.9 IPS |
|
|
Face Detection (SP)
|
100% |
263
3.12 IPS |
|
|
Face Detection (HP)
|
100% |
264
3.14 IPS |
|
|
Face Detection (Q)
|
97% |
590
7.04 IPS |
|
|
Depth Estimation (SP)
|
100% |
224
1.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
226
1.74 IPS |
|
|
Depth Estimation (Q)
|
64% |
541
4.91 IPS |
|
|
Style Transfer (SP)
|
100% |
392
0.50 IPS |
|
|
Style Transfer (HP)
|
100% |
391
0.50 IPS |
|
|
Style Transfer (Q)
|
98% |
1082
1.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
113
4.18 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
121
4.46 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
387
14.3 IPS |
|
|
Text Classification (SP)
|
100% |
145
193.5 IPS |
|
|
Text Classification (HP)
|
100% |
144
191.7 IPS |
|
|
Text Classification (Q)
|
91% |
275
369.5 IPS |
|
|
Machine Translation (SP)
|
100% |
242
4.16 IPS |
|
|
Machine Translation (HP)
|
100% |
241
4.16 IPS |
|
|
Machine Translation (Q)
|
57% |
216
5.27 IPS |
