samsung SM-F956B
Geekbench AI Score
2249
Single Precision Score
2307
Half Precision Score
3442
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | darkagarka |
| Upload Date | August 17 2024 08:56 PM |
| Views | 17 |
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% |
1279
237.8 IPS |
|
|
Image Classification (HP)
|
100% |
1902
353.7 IPS |
|
|
Image Classification (Q)
|
100% |
3651
679.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2502
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2476
40.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4159
67.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3853
4.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
3487
4.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
7841
9.30 IPS |
|
|
Object Detection (SP)
|
98% |
1734
138.0 IPS |
|
|
Object Detection (HP)
|
98% |
1692
134.7 IPS |
|
|
Object Detection (Q)
|
87% |
2468
198.2 IPS |
|
|
Face Detection (SP)
|
100% |
3401
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
3396
40.4 IPS |
|
|
Face Detection (Q)
|
95% |
5392
64.4 IPS |
|
|
Depth Estimation (SP)
|
98% |
3504
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3473
26.8 IPS |
|
|
Depth Estimation (Q)
|
75% |
6265
50.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8301
10.8 IPS |
|
|
Style Transfer (HP)
|
89% |
8347
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
14979
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1593
58.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1633
60.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3495
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
641
855.8 IPS |
|
|
Text Classification (HP)
|
99% |
641
855.6 IPS |
|
|
Text Classification (Q)
|
88% |
671
905.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1533
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1494
25.7 IPS |
|
|
Machine Translation (Q)
|
50% |
671
23.8 IPS |
