samsung SM-F956N
Geekbench AI Score
2102
Single Precision Score
2026
Half Precision Score
3008
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 12:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-F956N |
| Model ID | samsung SM-F956N |
| 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% |
1976
367.6 IPS |
|
|
Image Classification (HP)
|
100% |
2172
403.9 IPS |
|
|
Image Classification (Q)
|
100% |
3302
614.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2588
41.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2504
40.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3911
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3825
4.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
3410
3.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
6159
7.30 IPS |
|
|
Object Detection (SP)
|
98% |
1395
111.0 IPS |
|
|
Object Detection (HP)
|
98% |
1241
98.8 IPS |
|
|
Object Detection (Q)
|
83% |
1791
144.7 IPS |
|
|
Face Detection (SP)
|
100% |
2825
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
2812
33.4 IPS |
|
|
Face Detection (Q)
|
95% |
4230
50.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2865
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2848
22.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4962
45.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7526
9.77 IPS |
|
|
Style Transfer (HP)
|
89% |
6814
8.85 IPS |
|
|
Style Transfer (Q)
|
98% |
12448
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1329
49.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1383
51.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3108
115.2 IPS |
|
|
Text Classification (SP)
|
100% |
591
788.9 IPS |
|
|
Text Classification (HP)
|
99% |
549
732.8 IPS |
|
|
Text Classification (Q)
|
88% |
813
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1290
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1225
21.1 IPS |
|
|
Machine Translation (Q)
|
50% |
646
22.9 IPS |
