Samsung Galaxy Z Fold6
Geekbench AI Score
1779
Single Precision Score
1836
Half Precision Score
2548
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 08:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1176
218.8 IPS |
|
|
Image Classification (HP)
|
100% |
1482
275.6 IPS |
|
|
Image Classification (Q)
|
100% |
2460
457.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1826
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1864
30.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2751
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2821
3.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2737
3.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
5635
6.68 IPS |
|
|
Object Detection (SP)
|
98% |
1343
106.9 IPS |
|
|
Object Detection (HP)
|
98% |
1340
106.7 IPS |
|
|
Object Detection (Q)
|
83% |
1865
150.6 IPS |
|
|
Face Detection (SP)
|
100% |
2533
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
2682
31.9 IPS |
|
|
Face Detection (Q)
|
95% |
3851
46.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2697
20.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2642
20.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4030
36.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6439
8.36 IPS |
|
|
Style Transfer (HP)
|
89% |
6435
8.35 IPS |
|
|
Style Transfer (Q)
|
98% |
11769
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1302
48.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1373
50.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2948
109.2 IPS |
|
|
Text Classification (SP)
|
100% |
563
750.8 IPS |
|
|
Text Classification (HP)
|
99% |
554
739.1 IPS |
|
|
Text Classification (Q)
|
88% |
539
726.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1216
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1240
21.4 IPS |
|
|
Machine Translation (Q)
|
50% |
559
19.8 IPS |
