samsung SM-F956N
Geekbench AI Score
1013
Single Precision Score
1371
Half Precision Score
1418
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 12:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
976
181.6 IPS |
|
|
Image Classification (HP)
|
100% |
711
132.3 IPS |
|
|
Image Classification (Q)
|
96% |
567
105.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1004
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1415
22.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1053
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1117
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2046
2.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
2025
2.37 IPS |
|
|
Object Detection (SP)
|
100% |
585
46.4 IPS |
|
|
Object Detection (HP)
|
100% |
720
57.1 IPS |
|
|
Object Detection (Q)
|
87% |
829
66.5 IPS |
|
|
Face Detection (SP)
|
100% |
1775
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
1760
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
3106
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1516
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3022
23.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2543
23.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5412
6.96 IPS |
|
|
Style Transfer (HP)
|
100% |
8626
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
8747
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
409
15.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1193
44.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1182
43.8 IPS |
|
|
Text Classification (SP)
|
100% |
439
586.0 IPS |
|
|
Text Classification (HP)
|
100% |
439
586.1 IPS |
|
|
Text Classification (Q)
|
91% |
719
965.7 IPS |
|
|
Machine Translation (SP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
661
11.4 IPS |
|
|
Machine Translation (Q)
|
57% |
562
13.7 IPS |
