Samsung Galaxy Z Fold6
Geekbench AI Score
526
Single Precision Score
19514
Half Precision Score
47455
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2025 08:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
329
61.3 IPS |
|
|
Image Classification (HP)
|
100% |
14790
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
40189
7.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
414
6.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
10395
168.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
30010
488.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
555
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
69168
80.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
279972
327.7 IPS |
|
|
Object Detection (SP)
|
100% |
316
25.1 IPS |
|
|
Object Detection (HP)
|
100% |
13494
1.07 KIPS |
|
|
Object Detection (Q)
|
86% |
19450
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
760
9.03 IPS |
|
|
Face Detection (HP)
|
100% |
28813
342.4 IPS |
|
|
Face Detection (Q)
|
97% |
113514
1.35 KIPS |
|
|
Depth Estimation (SP)
|
100% |
672
5.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
54794
422.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
110829
1.04 KIPS |
|
|
Style Transfer (SP)
|
100% |
1063
1.37 IPS |
|
|
Style Transfer (HP)
|
98% |
81203
104.7 IPS |
|
|
Style Transfer (Q)
|
98% |
383697
494.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
365
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37771
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
101696
3.77 KIPS |
|
|
Text Classification (SP)
|
100% |
466
621.5 IPS |
|
|
Text Classification (HP)
|
100% |
3128
4.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6819
9.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
735
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3685
63.5 IPS |
|
|
Machine Translation (Q)
|
55% |
2635
69.0 IPS |
