samsung SM-F956U1
Geekbench AI Score
426
Single Precision Score
421
Half Precision Score
921
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | K4ZT13L |
| Upload Date | November 02 2024 03:06 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-F956U1 |
| Model ID | samsung SM-F956U1 |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
298
55.5 IPS |
|
|
Image Classification (HP)
|
100% |
296
55.0 IPS |
|
|
Image Classification (Q)
|
99% |
763
142.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
373
6.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
376
6.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
751
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
489
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
411
0.48 IPS |
|
|
Pose Estimation (Q)
|
98% |
1583
1.85 IPS |
|
|
Object Detection (SP)
|
100% |
235
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
239
19.0 IPS |
|
|
Object Detection (Q)
|
87% |
649
52.1 IPS |
|
|
Face Detection (SP)
|
100% |
607
7.22 IPS |
|
|
Face Detection (HP)
|
100% |
629
7.47 IPS |
|
|
Face Detection (Q)
|
97% |
1381
16.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
529
4.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
514
3.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
1136
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
826
1.06 IPS |
|
|
Style Transfer (HP)
|
100% |
813
1.05 IPS |
|
|
Style Transfer (Q)
|
98% |
1866
2.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
292
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
293
10.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
960
35.6 IPS |
|
|
Text Classification (SP)
|
100% |
352
469.4 IPS |
|
|
Text Classification (HP)
|
100% |
347
462.9 IPS |
|
|
Text Classification (Q)
|
91% |
562
755.3 IPS |
|
|
Machine Translation (SP)
|
100% |
577
9.94 IPS |
|
|
Machine Translation (HP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (Q)
|
57% |
477
11.6 IPS |
