Samsung Galaxy Z Fold6
Geekbench AI Score
308
Single Precision Score
306
Half Precision Score
664
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | riussi |
| Upload Date | January 28 2025 05:21 PM |
| Views | 2 |
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-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% |
201
37.4 IPS |
|
|
Image Classification (HP)
|
100% |
201
37.4 IPS |
|
|
Image Classification (Q)
|
99% |
481
89.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
232
3.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
234
3.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
465
7.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
324
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
311
0.36 IPS |
|
|
Pose Estimation (Q)
|
98% |
1240
1.45 IPS |
|
|
Object Detection (SP)
|
100% |
180
14.3 IPS |
|
|
Object Detection (HP)
|
100% |
180
14.3 IPS |
|
|
Object Detection (Q)
|
87% |
471
37.8 IPS |
|
|
Face Detection (SP)
|
100% |
464
5.52 IPS |
|
|
Face Detection (HP)
|
100% |
447
5.31 IPS |
|
|
Face Detection (Q)
|
97% |
972
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
390
3.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
392
3.02 IPS |
|
|
Depth Estimation (Q)
|
64% |
886
8.04 IPS |
|
|
Style Transfer (SP)
|
100% |
642
0.83 IPS |
|
|
Style Transfer (HP)
|
100% |
638
0.82 IPS |
|
|
Style Transfer (Q)
|
98% |
1552
2.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
207
7.63 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
216
7.98 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
673
24.9 IPS |
|
|
Text Classification (SP)
|
100% |
263
351.7 IPS |
|
|
Text Classification (HP)
|
100% |
262
349.4 IPS |
|
|
Text Classification (Q)
|
91% |
429
576.4 IPS |
|
|
Machine Translation (SP)
|
100% |
447
7.70 IPS |
|
|
Machine Translation (HP)
|
100% |
446
7.69 IPS |
|
|
Machine Translation (Q)
|
57% |
335
8.18 IPS |
