Samsung Galaxy Z Fold6
Geekbench AI Score
1687
Single Precision Score
2736
Half Precision Score
2095
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2025 11:38 PM |
| Views | 2 |
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% |
1246
231.7 IPS |
|
|
Image Classification (HP)
|
100% |
1858
345.5 IPS |
|
|
Image Classification (Q)
|
100% |
1537
285.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2893
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3725
60.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2706
44.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10474
12.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
19397
22.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
18786
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
1200
95.2 IPS |
|
|
Object Detection (HP)
|
99% |
1811
143.7 IPS |
|
|
Object Detection (Q)
|
87% |
1515
121.7 IPS |
|
|
Face Detection (SP)
|
100% |
3212
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
7413
88.1 IPS |
|
|
Face Detection (Q)
|
97% |
6360
75.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4183
32.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
6103
47.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
4675
46.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9967
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20389
26.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20123
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1967
72.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2988
110.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2782
103.1 IPS |
|
|
Text Classification (SP)
|
35% |
32
315.4 IPS |
|
|
Text Classification (HP)
|
35% |
42
386.0 IPS |
|
|
Text Classification (Q)
|
33% |
32
387.4 IPS |
|
|
Machine Translation (SP)
|
100% |
491
8.45 IPS |
|
|
Machine Translation (HP)
|
97% |
837
14.5 IPS |
|
|
Machine Translation (Q)
|
43% |
259
14.7 IPS |
