samsung SM-F956B
Geekbench AI Score
2179
Single Precision Score
2214
Half Precision Score
3226
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 10:58 PM |
| Views | 1 |
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% |
2389
444.3 IPS |
|
|
Image Classification (HP)
|
100% |
2216
412.1 IPS |
|
|
Image Classification (Q)
|
100% |
3390
630.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2677
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2500
40.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4219
68.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3954
4.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3856
4.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
7045
8.36 IPS |
|
|
Object Detection (SP)
|
98% |
1546
123.0 IPS |
|
|
Object Detection (HP)
|
98% |
1525
121.4 IPS |
|
|
Object Detection (Q)
|
83% |
1965
158.7 IPS |
|
|
Face Detection (SP)
|
100% |
3055
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
3118
37.0 IPS |
|
|
Face Detection (Q)
|
95% |
4674
55.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2849
22.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2812
21.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4906
44.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7387
9.59 IPS |
|
|
Style Transfer (HP)
|
89% |
7569
9.83 IPS |
|
|
Style Transfer (Q)
|
98% |
11948
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1466
54.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1504
55.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3484
129.1 IPS |
|
|
Text Classification (SP)
|
100% |
621
828.4 IPS |
|
|
Text Classification (HP)
|
99% |
607
810.5 IPS |
|
|
Text Classification (Q)
|
88% |
1005
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1056
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1439
24.8 IPS |
|
|
Machine Translation (Q)
|
50% |
643
22.8 IPS |
