samsung SM-F956B
Geekbench AI Score
2489
Single Precision Score
2603
Half Precision Score
3689
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Placo |
| Upload Date | October 09 2024 08:42 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2030
377.4 IPS |
|
|
Image Classification (HP)
|
100% |
2218
412.5 IPS |
|
|
Image Classification (Q)
|
100% |
2645
492.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2622
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2644
42.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4358
70.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3995
4.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
3926
4.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
8989
10.7 IPS |
|
|
Object Detection (SP)
|
98% |
2071
164.8 IPS |
|
|
Object Detection (HP)
|
98% |
2146
170.8 IPS |
|
|
Object Detection (Q)
|
83% |
3107
251.0 IPS |
|
|
Face Detection (SP)
|
100% |
4194
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
4167
49.5 IPS |
|
|
Face Detection (Q)
|
95% |
6674
79.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4299
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4273
33.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5372
49.2 IPS |
|
|
Style Transfer (SP)
|
89% |
8283
10.8 IPS |
|
|
Style Transfer (HP)
|
89% |
8330
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15520
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1644
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1718
63.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3721
137.9 IPS |
|
|
Text Classification (SP)
|
100% |
677
903.3 IPS |
|
|
Text Classification (HP)
|
99% |
727
970.0 IPS |
|
|
Text Classification (Q)
|
88% |
957
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1562
26.9 IPS |
|
|
Machine Translation (Q)
|
50% |
732
26.0 IPS |
