Samsung Galaxy Z Fold6
Geekbench AI Score
288
Single Precision Score
291
Half Precision Score
645
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | DiegoCleir |
| Upload Date | March 08 2026 02:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
148
27.4 IPS |
|
|
Image Classification (HP)
|
100% |
155
28.8 IPS |
|
|
Image Classification (Q)
|
99% |
407
76.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
205
3.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
439
7.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
314
0.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
299
0.35 IPS |
|
|
Pose Estimation (Q)
|
98% |
1146
1.34 IPS |
|
|
Object Detection (SP)
|
100% |
181
14.4 IPS |
|
|
Object Detection (HP)
|
100% |
182
14.4 IPS |
|
|
Object Detection (Q)
|
87% |
499
40.0 IPS |
|
|
Face Detection (SP)
|
100% |
462
5.49 IPS |
|
|
Face Detection (HP)
|
100% |
465
5.52 IPS |
|
|
Face Detection (Q)
|
97% |
974
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
393
3.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
395
3.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
878
7.96 IPS |
|
|
Style Transfer (SP)
|
100% |
613
0.79 IPS |
|
|
Style Transfer (HP)
|
100% |
564
0.73 IPS |
|
|
Style Transfer (Q)
|
98% |
1441
1.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
190
7.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
203
7.48 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
663
24.6 IPS |
|
|
Text Classification (SP)
|
100% |
246
328.8 IPS |
|
|
Text Classification (HP)
|
100% |
260
346.7 IPS |
|
|
Text Classification (Q)
|
91% |
428
575.0 IPS |
|
|
Machine Translation (SP)
|
100% |
439
7.56 IPS |
|
|
Machine Translation (HP)
|
100% |
442
7.61 IPS |
|
|
Machine Translation (Q)
|
57% |
349
8.54 IPS |
