Samsung Galaxy Z Fold6
Geekbench AI Score
1081
Single Precision Score
1663
Half Precision Score
1346
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | DiegoCleir |
| Upload Date | March 08 2026 02:32 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
644
119.7 IPS |
|
|
Image Classification (HP)
|
100% |
1026
190.8 IPS |
|
|
Image Classification (Q)
|
100% |
894
166.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1874
30.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1551
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4546
5.30 IPS |
|
|
Pose Estimation (HP)
|
99% |
8399
9.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
8402
9.84 IPS |
|
|
Object Detection (SP)
|
100% |
558
44.3 IPS |
|
|
Object Detection (HP)
|
99% |
818
64.9 IPS |
|
|
Object Detection (Q)
|
87% |
817
65.6 IPS |
|
|
Face Detection (SP)
|
100% |
3002
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5105
60.7 IPS |
|
|
Face Detection (Q)
|
97% |
4309
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2692
20.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3915
30.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
3199
31.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6161
7.92 IPS |
|
|
Style Transfer (HP)
|
100% |
13104
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
12804
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1314
48.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2279
84.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2239
83.0 IPS |
|
|
Text Classification (SP)
|
35% |
26
255.7 IPS |
|
|
Text Classification (HP)
|
35% |
36
329.1 IPS |
|
|
Text Classification (Q)
|
33% |
31
370.9 IPS |
|
|
Machine Translation (SP)
|
100% |
579
9.97 IPS |
|
|
Machine Translation (HP)
|
97% |
573
9.91 IPS |
|
|
Machine Translation (Q)
|
43% |
168
9.56 IPS |
