samsung SM-F956B
Geekbench AI Score
2148
Single Precision Score
2161
Half Precision Score
3109
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 02:33 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% |
1960
364.5 IPS |
|
|
Image Classification (HP)
|
100% |
2395
445.5 IPS |
|
|
Image Classification (Q)
|
100% |
3756
698.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2572
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2425
39.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3965
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4045
4.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3795
4.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
7009
8.31 IPS |
|
|
Object Detection (SP)
|
98% |
1499
119.3 IPS |
|
|
Object Detection (HP)
|
98% |
1508
120.0 IPS |
|
|
Object Detection (Q)
|
83% |
2160
174.5 IPS |
|
|
Face Detection (SP)
|
100% |
3079
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
3078
36.6 IPS |
|
|
Face Detection (Q)
|
95% |
4790
57.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3055
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3062
23.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4904
44.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7540
9.79 IPS |
|
|
Style Transfer (HP)
|
89% |
7540
9.79 IPS |
|
|
Style Transfer (Q)
|
98% |
12363
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1477
54.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1397
51.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2877
106.6 IPS |
|
|
Text Classification (SP)
|
100% |
542
723.6 IPS |
|
|
Text Classification (HP)
|
99% |
552
736.2 IPS |
|
|
Text Classification (Q)
|
88% |
757
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1206
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1224
21.1 IPS |
|
|
Machine Translation (Q)
|
50% |
593
21.0 IPS |
