samsung SC-56F
Geekbench AI Score
2077
Single Precision Score
2122
Half Precision Score
3316
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 16 2025 02:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SC-56F |
| Model ID | samsung SC-56F |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1622
301.6 IPS |
|
|
Image Classification (HP)
|
100% |
2005
372.9 IPS |
|
|
Image Classification (Q)
|
100% |
4449
827.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1881
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2724
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3755
4.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
3673
4.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
8363
9.92 IPS |
|
|
Object Detection (SP)
|
98% |
1071
85.2 IPS |
|
|
Object Detection (HP)
|
98% |
1151
91.6 IPS |
|
|
Object Detection (Q)
|
83% |
2571
207.7 IPS |
|
|
Face Detection (SP)
|
100% |
3562
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
3587
42.6 IPS |
|
|
Face Detection (Q)
|
95% |
7012
83.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3492
27.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3271
25.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
6647
60.9 IPS |
|
|
Style Transfer (SP)
|
89% |
8198
10.6 IPS |
|
|
Style Transfer (HP)
|
89% |
7501
9.74 IPS |
|
|
Style Transfer (Q)
|
98% |
14206
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1638
60.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1534
56.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4103
152.0 IPS |
|
|
Text Classification (SP)
|
100% |
575
767.7 IPS |
|
|
Text Classification (HP)
|
99% |
801
1.07 KIPS |
|
|
Text Classification (Q)
|
88% |
578
780.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
883
15.2 IPS |
|
|
Machine Translation (Q)
|
50% |
393
14.0 IPS |
