samsung SM-F9560
Geekbench AI Score
2084
Single Precision Score
2056
Half Precision Score
2973
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 02:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-F9560 |
| Model ID | samsung SM-F9560 |
| 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% |
2315
430.5 IPS |
|
|
Image Classification (HP)
|
100% |
2158
401.4 IPS |
|
|
Image Classification (Q)
|
100% |
3575
664.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2562
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2534
41.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4136
67.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3931
4.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3646
4.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
5808
6.89 IPS |
|
|
Object Detection (SP)
|
98% |
1364
108.6 IPS |
|
|
Object Detection (HP)
|
98% |
1393
110.8 IPS |
|
|
Object Detection (Q)
|
83% |
1961
158.4 IPS |
|
|
Face Detection (SP)
|
100% |
2848
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
2790
33.2 IPS |
|
|
Face Detection (Q)
|
95% |
4293
51.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2799
21.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2846
22.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4309
39.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6857
8.90 IPS |
|
|
Style Transfer (HP)
|
89% |
6524
8.47 IPS |
|
|
Style Transfer (Q)
|
98% |
11708
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1376
50.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1370
50.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2886
106.9 IPS |
|
|
Text Classification (SP)
|
100% |
520
693.5 IPS |
|
|
Text Classification (HP)
|
99% |
553
738.0 IPS |
|
|
Text Classification (Q)
|
88% |
857
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1244
21.4 IPS |
|
|
Machine Translation (Q)
|
50% |
600
21.3 IPS |
