Samsung Galaxy Z Fold6
Geekbench AI Score
1523
Single Precision Score
2435
Half Precision Score
1880
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | ioscarhunter |
| Upload Date | September 18 2025 10:59 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
875
162.6 IPS |
|
|
Image Classification (HP)
|
100% |
1354
251.7 IPS |
|
|
Image Classification (Q)
|
100% |
1304
242.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1758
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3066
49.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2172
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8315
9.70 IPS |
|
|
Pose Estimation (HP)
|
99% |
13733
16.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9610
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
689
54.7 IPS |
|
|
Object Detection (HP)
|
99% |
1430
113.5 IPS |
|
|
Object Detection (Q)
|
87% |
1340
107.6 IPS |
|
|
Face Detection (SP)
|
100% |
3772
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
6153
73.1 IPS |
|
|
Face Detection (Q)
|
97% |
6152
73.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4250
32.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
6380
49.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
4903
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10425
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21644
27.8 IPS |
|
|
Style Transfer (Q)
|
98% |
22174
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2305
85.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3746
138.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3679
136.4 IPS |
|
|
Text Classification (SP)
|
35% |
37
362.2 IPS |
|
|
Text Classification (HP)
|
35% |
53
484.4 IPS |
|
|
Text Classification (Q)
|
33% |
38
460.9 IPS |
|
|
Machine Translation (SP)
|
100% |
537
9.25 IPS |
|
|
Machine Translation (HP)
|
97% |
535
9.25 IPS |
|
|
Machine Translation (Q)
|
43% |
162
9.19 IPS |
