Samsung Galaxy Z Fold6
Geekbench AI Score
2208
Single Precision Score
2241
Half Precision Score
3201
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Suhiel |
| Upload Date | March 02 2025 11:39 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Fold6 |
| Model ID | samsung SM-F956U1 |
| 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% |
1717
319.3 IPS |
|
|
Image Classification (HP)
|
100% |
2110
392.4 IPS |
|
|
Image Classification (Q)
|
100% |
2824
525.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2262
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2307
37.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3523
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4229
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3970
4.63 IPS |
|
|
Pose Estimation (Q)
|
84% |
7901
9.37 IPS |
|
|
Object Detection (SP)
|
98% |
1769
140.8 IPS |
|
|
Object Detection (HP)
|
98% |
1526
121.5 IPS |
|
|
Object Detection (Q)
|
83% |
1976
159.7 IPS |
|
|
Face Detection (SP)
|
100% |
3107
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
3095
36.8 IPS |
|
|
Face Detection (Q)
|
95% |
4813
57.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3023
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3076
23.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4981
45.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7631
9.91 IPS |
|
|
Style Transfer (HP)
|
89% |
7591
9.85 IPS |
|
|
Style Transfer (Q)
|
98% |
14070
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1459
53.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1545
57.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3559
131.9 IPS |
|
|
Text Classification (SP)
|
100% |
615
820.7 IPS |
|
|
Text Classification (HP)
|
99% |
654
873.4 IPS |
|
|
Text Classification (Q)
|
88% |
906
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1474
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1489
25.7 IPS |
|
|
Machine Translation (Q)
|
50% |
669
23.7 IPS |
