Samsung Galaxy Z Fold6
Geekbench AI Score
2217
Single Precision Score
3349
Half Precision Score
2535
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2025 08:42 PM |
| Views | 2 |
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% |
1539
286.2 IPS |
|
|
Image Classification (HP)
|
100% |
2000
372.0 IPS |
|
|
Image Classification (Q)
|
100% |
1850
344.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2461
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4144
67.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2996
48.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11283
13.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
19861
23.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
19415
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
1196
94.9 IPS |
|
|
Object Detection (HP)
|
99% |
1766
140.1 IPS |
|
|
Object Detection (Q)
|
87% |
1694
136.1 IPS |
|
|
Face Detection (SP)
|
100% |
4165
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
7184
85.4 IPS |
|
|
Face Detection (Q)
|
97% |
5339
63.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5726
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8576
66.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
6467
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14422
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29993
38.6 IPS |
|
|
Style Transfer (Q)
|
98% |
28797
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3074
113.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4890
180.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4485
166.2 IPS |
|
|
Text Classification (SP)
|
35% |
49
474.5 IPS |
|
|
Text Classification (HP)
|
35% |
67
609.1 IPS |
|
|
Text Classification (Q)
|
33% |
50
600.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1084
18.7 IPS |
|
|
Machine Translation (HP)
|
97% |
1010
17.5 IPS |
|
|
Machine Translation (Q)
|
43% |
270
15.4 IPS |
