samsung SM-F956Q
Geekbench AI Score
375
Single Precision Score
358
Half Precision Score
784
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 10:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-F956Q |
| Model ID | samsung SM-F956Q |
| 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% |
296
55.0 IPS |
|
|
Image Classification (HP)
|
100% |
295
54.9 IPS |
|
|
Image Classification (Q)
|
99% |
757
141.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
365
5.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
325
5.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
653
10.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
432
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
334
0.39 IPS |
|
|
Pose Estimation (Q)
|
98% |
1368
1.60 IPS |
|
|
Object Detection (SP)
|
100% |
201
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (Q)
|
87% |
561
45.0 IPS |
|
|
Face Detection (SP)
|
100% |
511
6.07 IPS |
|
|
Face Detection (HP)
|
100% |
530
6.29 IPS |
|
|
Face Detection (Q)
|
97% |
1102
13.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
454
3.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
438
3.38 IPS |
|
|
Depth Estimation (Q)
|
64% |
943
8.56 IPS |
|
|
Style Transfer (SP)
|
100% |
713
0.92 IPS |
|
|
Style Transfer (HP)
|
100% |
677
0.87 IPS |
|
|
Style Transfer (Q)
|
98% |
1639
2.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
232
8.56 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
233
8.60 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
773
28.6 IPS |
|
|
Text Classification (SP)
|
100% |
304
405.1 IPS |
|
|
Text Classification (HP)
|
100% |
297
395.8 IPS |
|
|
Text Classification (Q)
|
91% |
477
640.8 IPS |
|
|
Machine Translation (SP)
|
100% |
505
8.69 IPS |
|
|
Machine Translation (HP)
|
100% |
503
8.66 IPS |
|
|
Machine Translation (Q)
|
57% |
372
9.10 IPS |
