Samsung Galaxy Z Fold6
Geekbench AI Score
338
Single Precision Score
337
Half Precision Score
729
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Suhiel |
| Upload Date | March 03 2025 12:00 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Fold6 |
| Model ID | samsung SM-F956U1 |
| 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% |
240
44.7 IPS |
|
|
Image Classification (HP)
|
100% |
243
45.2 IPS |
|
|
Image Classification (Q)
|
99% |
610
113.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
307
4.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
612
9.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
369
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
318
0.37 IPS |
|
|
Pose Estimation (Q)
|
98% |
1245
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
180
14.3 IPS |
|
|
Object Detection (HP)
|
100% |
192
15.3 IPS |
|
|
Object Detection (Q)
|
87% |
536
43.0 IPS |
|
|
Face Detection (SP)
|
100% |
501
5.95 IPS |
|
|
Face Detection (HP)
|
100% |
468
5.57 IPS |
|
|
Face Detection (Q)
|
97% |
990
11.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
397
3.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
398
3.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
923
8.38 IPS |
|
|
Style Transfer (SP)
|
100% |
694
0.89 IPS |
|
|
Style Transfer (HP)
|
100% |
692
0.89 IPS |
|
|
Style Transfer (Q)
|
98% |
1547
1.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
217
8.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
232
8.57 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
756
28.0 IPS |
|
|
Text Classification (SP)
|
100% |
277
369.2 IPS |
|
|
Text Classification (HP)
|
100% |
283
377.7 IPS |
|
|
Text Classification (Q)
|
91% |
453
608.8 IPS |
|
|
Machine Translation (SP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (HP)
|
100% |
491
8.45 IPS |
|
|
Machine Translation (Q)
|
57% |
354
8.64 IPS |
