samsung SM-F9560
Geekbench AI Score
2389
Single Precision Score
2378
Half Precision Score
3455
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 02:27 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% |
2467
458.9 IPS |
|
|
Image Classification (HP)
|
100% |
2429
451.8 IPS |
|
|
Image Classification (Q)
|
100% |
3436
639.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2671
43.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2706
43.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4357
70.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4056
4.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3471
4.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
7923
9.40 IPS |
|
|
Object Detection (SP)
|
98% |
1720
136.9 IPS |
|
|
Object Detection (HP)
|
98% |
1740
138.4 IPS |
|
|
Object Detection (Q)
|
83% |
2222
179.5 IPS |
|
|
Face Detection (SP)
|
100% |
3394
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
3335
39.6 IPS |
|
|
Face Detection (Q)
|
95% |
5202
62.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3477
26.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3506
27.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5424
49.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8376
10.9 IPS |
|
|
Style Transfer (HP)
|
89% |
8416
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
14998
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1551
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1594
58.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3510
130.1 IPS |
|
|
Text Classification (SP)
|
100% |
610
814.5 IPS |
|
|
Text Classification (HP)
|
99% |
650
867.1 IPS |
|
|
Text Classification (Q)
|
88% |
911
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1413
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1434
24.7 IPS |
|
|
Machine Translation (Q)
|
50% |
681
24.2 IPS |
