Samsung Galaxy Z Fold6
Geekbench AI Score
385
Single Precision Score
381
Half Precision Score
829
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2025 11:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
238
44.3 IPS |
|
|
Image Classification (HP)
|
100% |
247
45.9 IPS |
|
|
Image Classification (Q)
|
99% |
598
111.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
300
4.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
613
9.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
430
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
401
0.47 IPS |
|
|
Pose Estimation (Q)
|
98% |
1544
1.81 IPS |
|
|
Object Detection (SP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (HP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (Q)
|
87% |
615
49.3 IPS |
|
|
Face Detection (SP)
|
100% |
574
6.82 IPS |
|
|
Face Detection (HP)
|
100% |
577
6.86 IPS |
|
|
Face Detection (Q)
|
97% |
1305
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
491
3.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
461
3.56 IPS |
|
|
Depth Estimation (Q)
|
64% |
1036
9.40 IPS |
|
|
Style Transfer (SP)
|
100% |
806
1.04 IPS |
|
|
Style Transfer (HP)
|
100% |
787
1.01 IPS |
|
|
Style Transfer (Q)
|
98% |
1867
2.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
274
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
269
9.94 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
818
30.3 IPS |
|
|
Text Classification (SP)
|
100% |
325
433.6 IPS |
|
|
Text Classification (HP)
|
100% |
326
434.8 IPS |
|
|
Text Classification (Q)
|
91% |
529
710.6 IPS |
|
|
Machine Translation (SP)
|
100% |
544
9.37 IPS |
|
|
Machine Translation (HP)
|
100% |
522
8.98 IPS |
|
|
Machine Translation (Q)
|
57% |
404
9.87 IPS |
