Samsung Galaxy Z Fold5
Geekbench AI Score
1074
Single Precision Score
920
Half Precision Score
1666
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Quiltermatt |
| Upload Date | August 23 2024 12:13 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Fold5 |
| Model ID | samsung SM-F946B |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 10.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1062
197.4 IPS |
|
|
Image Classification (HP)
|
100% |
699
129.9 IPS |
|
|
Image Classification (Q)
|
100% |
1426
265.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
944
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
751
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1734
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1894
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1807
2.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
3640
4.32 IPS |
|
|
Object Detection (SP)
|
98% |
407
32.4 IPS |
|
|
Object Detection (HP)
|
98% |
708
56.4 IPS |
|
|
Object Detection (Q)
|
87% |
1223
98.2 IPS |
|
|
Face Detection (SP)
|
100% |
1332
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
847
10.1 IPS |
|
|
Face Detection (Q)
|
95% |
2028
24.2 IPS |
|
|
Depth Estimation (SP)
|
98% |
2041
15.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1195
9.24 IPS |
|
|
Depth Estimation (Q)
|
75% |
3133
25.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3629
4.71 IPS |
|
|
Style Transfer (HP)
|
89% |
3304
4.29 IPS |
|
|
Style Transfer (Q)
|
98% |
6208
8.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
777
28.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
885
32.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1413
52.3 IPS |
|
|
Text Classification (SP)
|
100% |
422
563.0 IPS |
|
|
Text Classification (HP)
|
99% |
305
407.6 IPS |
|
|
Text Classification (Q)
|
88% |
639
861.2 IPS |
|
|
Machine Translation (SP)
|
100% |
818
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (Q)
|
50% |
422
15.0 IPS |
