Samsung Galaxy Z Fold6
Geekbench AI Score
1715
Single Precision Score
1795
Half Precision Score
2614
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 01:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1532
284.9 IPS |
|
|
Image Classification (HP)
|
100% |
2003
372.4 IPS |
|
|
Image Classification (Q)
|
100% |
2663
495.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1989
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2076
33.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2482
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2562
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2955
3.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
6866
8.14 IPS |
|
|
Object Detection (SP)
|
98% |
1331
105.9 IPS |
|
|
Object Detection (HP)
|
98% |
1152
91.7 IPS |
|
|
Object Detection (Q)
|
83% |
1631
131.7 IPS |
|
|
Face Detection (SP)
|
100% |
2156
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
2373
28.2 IPS |
|
|
Face Detection (Q)
|
95% |
3331
39.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2546
19.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2645
20.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4083
37.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5549
7.20 IPS |
|
|
Style Transfer (HP)
|
89% |
5334
6.92 IPS |
|
|
Style Transfer (Q)
|
98% |
10690
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1088
40.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1134
41.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2947
109.2 IPS |
|
|
Text Classification (SP)
|
100% |
561
749.2 IPS |
|
|
Text Classification (HP)
|
99% |
559
746.0 IPS |
|
|
Text Classification (Q)
|
88% |
860
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1142
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1157
19.9 IPS |
|
|
Machine Translation (Q)
|
50% |
548
19.5 IPS |
