Samsung Galaxy Z Fold6
Geekbench AI Score
354
Single Precision Score
21579
Half Precision Score
49176
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Suhiel |
| Upload Date | March 03 2025 12:14 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
236
44.0 IPS |
|
|
Image Classification (HP)
|
100% |
17996
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
40868
7.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
306
4.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
10798
175.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
30902
502.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
435
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
99197
115.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
396950
464.6 IPS |
|
|
Object Detection (SP)
|
100% |
191
15.1 IPS |
|
|
Object Detection (HP)
|
100% |
15172
1.20 KIPS |
|
|
Object Detection (Q)
|
86% |
19399
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
501
5.95 IPS |
|
|
Face Detection (HP)
|
100% |
32397
384.9 IPS |
|
|
Face Detection (Q)
|
97% |
110210
1.31 KIPS |
|
|
Depth Estimation (SP)
|
100% |
444
3.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
59334
457.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
106045
993.0 IPS |
|
|
Style Transfer (SP)
|
100% |
734
0.94 IPS |
|
|
Style Transfer (HP)
|
98% |
84888
109.5 IPS |
|
|
Style Transfer (Q)
|
98% |
421772
543.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
232
8.56 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44036
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103067
3.82 KIPS |
|
|
Text Classification (SP)
|
100% |
288
384.5 IPS |
|
|
Text Classification (HP)
|
100% |
3057
4.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6710
9.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
485
8.36 IPS |
|
|
Machine Translation (HP)
|
100% |
3409
58.7 IPS |
|
|
Machine Translation (Q)
|
55% |
2495
65.4 IPS |
