samsung SM-F956B
Geekbench AI Score
2592
Single Precision Score
2612
Half Precision Score
3803
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | MindLogic |
| Upload Date | October 29 2024 10:29 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% |
2026
376.7 IPS |
|
|
Image Classification (HP)
|
100% |
2393
445.0 IPS |
|
|
Image Classification (Q)
|
100% |
3201
595.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2680
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2719
44.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4374
71.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4354
5.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
4096
4.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
9404
11.2 IPS |
|
|
Object Detection (SP)
|
98% |
2071
164.8 IPS |
|
|
Object Detection (HP)
|
98% |
2080
165.5 IPS |
|
|
Object Detection (Q)
|
83% |
2945
237.9 IPS |
|
|
Face Detection (SP)
|
100% |
3736
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
3952
47.0 IPS |
|
|
Face Detection (Q)
|
95% |
7367
88.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3999
30.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3961
30.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4559
41.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8852
11.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8330
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15705
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1857
68.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1857
68.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3915
145.1 IPS |
|
|
Text Classification (SP)
|
100% |
741
988.9 IPS |
|
|
Text Classification (HP)
|
99% |
740
987.5 IPS |
|
|
Text Classification (Q)
|
88% |
1148
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1542
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1491
25.7 IPS |
|
|
Machine Translation (Q)
|
50% |
690
24.5 IPS |
