samsung SM-F956B
Geekbench AI Score
910
Single Precision Score
1389
Half Precision Score
1344
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Placo |
| Upload Date | October 09 2024 08:55 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-F956B |
| Model ID | samsung SM-F956B |
| 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% |
424
78.8 IPS |
|
|
Image Classification (HP)
|
100% |
672
124.9 IPS |
|
|
Image Classification (Q)
|
96% |
489
91.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
989
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1099
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2029
2.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
2020
2.37 IPS |
|
|
Object Detection (SP)
|
100% |
607
48.2 IPS |
|
|
Object Detection (HP)
|
100% |
847
67.2 IPS |
|
|
Object Detection (Q)
|
87% |
708
56.9 IPS |
|
|
Face Detection (SP)
|
100% |
2115
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
1770
21.0 IPS |
|
|
Face Detection (Q)
|
97% |
2479
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1537
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3005
23.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2599
24.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5325
6.85 IPS |
|
|
Style Transfer (HP)
|
100% |
8723
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8526
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
410
15.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1241
45.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1206
44.7 IPS |
|
|
Text Classification (SP)
|
100% |
444
592.0 IPS |
|
|
Text Classification (HP)
|
100% |
447
596.4 IPS |
|
|
Text Classification (Q)
|
91% |
738
991.8 IPS |
|
|
Machine Translation (SP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
665
11.4 IPS |
|
|
Machine Translation (Q)
|
57% |
571
13.9 IPS |
