samsung SM-F956B
Geekbench AI Score
860
Single Precision Score
1429
Half Precision Score
1326
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 11:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
342
63.6 IPS |
|
|
Image Classification (HP)
|
100% |
597
111.0 IPS |
|
|
Image Classification (Q)
|
96% |
552
103.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
703
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1201
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1011
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
967
1.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1940
2.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
1913
2.24 IPS |
|
|
Object Detection (SP)
|
100% |
573
45.4 IPS |
|
|
Object Detection (HP)
|
100% |
712
56.5 IPS |
|
|
Object Detection (Q)
|
87% |
789
63.3 IPS |
|
|
Face Detection (SP)
|
100% |
1771
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
4292
51.0 IPS |
|
|
Face Detection (Q)
|
97% |
2303
27.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1514
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3030
23.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2429
22.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5035
6.47 IPS |
|
|
Style Transfer (HP)
|
100% |
8184
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
8246
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
405
15.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1151
42.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1069
39.6 IPS |
|
|
Text Classification (SP)
|
100% |
445
593.9 IPS |
|
|
Text Classification (HP)
|
100% |
444
592.1 IPS |
|
|
Text Classification (Q)
|
91% |
720
967.7 IPS |
|
|
Machine Translation (SP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (Q)
|
57% |
562
13.7 IPS |
