samsung SM-M446K
Geekbench AI Score
307
Single Precision Score
305
Half Precision Score
600
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 11 2025 02:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM SM8350 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-M446K |
| Model ID | samsung SM-M446K |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM SM8350 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 5.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
160
29.7 IPS |
|
|
Image Classification (HP)
|
100% |
160
29.8 IPS |
|
|
Image Classification (Q)
|
100% |
403
74.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
175
2.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
175
2.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
490
7.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
612
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
605
0.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
1205
1.43 IPS |
|
|
Object Detection (SP)
|
100% |
157
12.5 IPS |
|
|
Object Detection (HP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (Q)
|
83% |
407
32.9 IPS |
|
|
Face Detection (SP)
|
100% |
361
4.28 IPS |
|
|
Face Detection (HP)
|
100% |
363
4.31 IPS |
|
|
Face Detection (Q)
|
95% |
863
10.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
513
3.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
509
3.92 IPS |
|
|
Depth Estimation (Q)
|
64% |
1049
9.61 IPS |
|
|
Style Transfer (SP)
|
89% |
1134
1.47 IPS |
|
|
Style Transfer (HP)
|
89% |
1130
1.47 IPS |
|
|
Style Transfer (Q)
|
98% |
2534
3.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
305
11.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
302
11.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
643
23.8 IPS |
|
|
Text Classification (SP)
|
100% |
171
228.6 IPS |
|
|
Text Classification (HP)
|
100% |
171
227.7 IPS |
|
|
Text Classification (Q)
|
88% |
270
363.8 IPS |
|
|
Machine Translation (SP)
|
100% |
256
4.41 IPS |
|
|
Machine Translation (HP)
|
100% |
254
4.37 IPS |
|
|
Machine Translation (Q)
|
50% |
158
5.59 IPS |
