samsung SM-F956N
Geekbench AI Score
365
Single Precision Score
353
Half Precision Score
782
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 12:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-F956N |
| Model ID | samsung SM-F956N |
| 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% |
305
56.8 IPS |
|
|
Image Classification (HP)
|
100% |
295
54.9 IPS |
|
|
Image Classification (Q)
|
99% |
776
144.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
375
6.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
327
5.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
651
10.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
428
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
351
0.41 IPS |
|
|
Pose Estimation (Q)
|
98% |
1315
1.54 IPS |
|
|
Object Detection (SP)
|
100% |
191
15.1 IPS |
|
|
Object Detection (HP)
|
100% |
191
15.2 IPS |
|
|
Object Detection (Q)
|
87% |
533
42.8 IPS |
|
|
Face Detection (SP)
|
100% |
485
5.77 IPS |
|
|
Face Detection (HP)
|
100% |
497
5.91 IPS |
|
|
Face Detection (Q)
|
97% |
1103
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
437
3.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
441
3.39 IPS |
|
|
Depth Estimation (Q)
|
64% |
986
8.95 IPS |
|
|
Style Transfer (SP)
|
100% |
708
0.91 IPS |
|
|
Style Transfer (HP)
|
100% |
709
0.91 IPS |
|
|
Style Transfer (Q)
|
98% |
1728
2.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
231
8.53 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
231
8.52 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
760
28.2 IPS |
|
|
Text Classification (SP)
|
100% |
279
372.9 IPS |
|
|
Text Classification (HP)
|
100% |
278
371.3 IPS |
|
|
Text Classification (Q)
|
91% |
454
610.1 IPS |
|
|
Machine Translation (SP)
|
100% |
471
8.11 IPS |
|
|
Machine Translation (HP)
|
100% |
472
8.13 IPS |
|
|
Machine Translation (Q)
|
57% |
376
9.18 IPS |
