Samsung Galaxy Z Fold6
Geekbench AI Score
2041
Single Precision Score
2180
Half Precision Score
3144
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 09:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy Z Fold6 |
| Model ID | samsung SM-F956U |
| 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% |
1175
218.4 IPS |
|
|
Image Classification (HP)
|
100% |
2022
376.0 IPS |
|
|
Image Classification (Q)
|
100% |
2904
540.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2282
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3569
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3818
4.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
3525
4.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
6998
8.30 IPS |
|
|
Object Detection (SP)
|
98% |
1509
120.1 IPS |
|
|
Object Detection (HP)
|
98% |
1510
120.1 IPS |
|
|
Object Detection (Q)
|
83% |
1953
157.7 IPS |
|
|
Face Detection (SP)
|
100% |
2990
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
3025
35.9 IPS |
|
|
Face Detection (Q)
|
95% |
4782
57.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3113
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3120
24.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4884
44.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7480
9.71 IPS |
|
|
Style Transfer (HP)
|
89% |
7523
9.77 IPS |
|
|
Style Transfer (Q)
|
98% |
14128
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1449
53.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1597
59.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3567
132.2 IPS |
|
|
Text Classification (SP)
|
100% |
654
872.5 IPS |
|
|
Text Classification (HP)
|
99% |
650
867.8 IPS |
|
|
Text Classification (Q)
|
88% |
903
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1235
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1328
22.9 IPS |
|
|
Machine Translation (Q)
|
50% |
628
22.3 IPS |
