Samsung Galaxy Z Fold6
Geekbench AI Score
1827
Single Precision Score
2076
Half Precision Score
2576
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | DiegoCleir |
| Upload Date | March 08 2026 02:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy Z Fold6 |
| 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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2173
404.0 IPS |
|
|
Image Classification (HP)
|
100% |
1758
326.9 IPS |
|
|
Image Classification (Q)
|
99% |
2659
495.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2019
32.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3591
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2242
2.62 IPS |
|
|
Pose Estimation (HP)
|
92% |
4887
5.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
5775
6.77 IPS |
|
|
Object Detection (SP)
|
98% |
1151
91.6 IPS |
|
|
Object Detection (HP)
|
97% |
849
67.6 IPS |
|
|
Object Detection (Q)
|
85% |
1652
133.1 IPS |
|
|
Face Detection (SP)
|
100% |
2600
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
2801
33.3 IPS |
|
|
Face Detection (Q)
|
97% |
3741
44.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2652
20.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3845
29.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3188
29.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6635
8.61 IPS |
|
|
Style Transfer (HP)
|
88% |
5329
6.92 IPS |
|
|
Style Transfer (Q)
|
98% |
9978
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1407
51.9 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
2185
81.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3010
111.5 IPS |
|
|
Text Classification (SP)
|
100% |
489
652.3 IPS |
|
|
Text Classification (HP)
|
100% |
733
978.6 IPS |
|
|
Text Classification (Q)
|
93% |
504
676.2 IPS |
|
|
Machine Translation (SP)
|
100% |
955
16.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1103
19.1 IPS |
|
|
Machine Translation (Q)
|
55% |
784
21.1 IPS |
