Samsung Galaxy Z Fold6
Geekbench AI Score
399
Single Precision Score
21844
Half Precision Score
49100
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 11:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
308
57.2 IPS |
|
|
Image Classification (HP)
|
100% |
18045
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
41161
7.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
378
6.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
10851
175.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
31182
507.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
493
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
100123
116.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
397327
465.0 IPS |
|
|
Object Detection (SP)
|
100% |
235
18.7 IPS |
|
|
Object Detection (HP)
|
100% |
15033
1.19 KIPS |
|
|
Object Detection (Q)
|
86% |
19337
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
526
6.25 IPS |
|
|
Face Detection (HP)
|
100% |
32046
380.8 IPS |
|
|
Face Detection (Q)
|
97% |
108504
1.29 KIPS |
|
|
Depth Estimation (SP)
|
100% |
488
3.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
63490
489.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
104866
981.9 IPS |
|
|
Style Transfer (SP)
|
100% |
739
0.95 IPS |
|
|
Style Transfer (HP)
|
98% |
84788
109.3 IPS |
|
|
Style Transfer (Q)
|
98% |
420701
542.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
263
9.72 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44035
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
102695
3.81 KIPS |
|
|
Text Classification (SP)
|
100% |
287
382.8 IPS |
|
|
Text Classification (HP)
|
100% |
3058
4.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6720
9.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
538
9.27 IPS |
|
|
Machine Translation (HP)
|
100% |
3613
62.2 IPS |
|
|
Machine Translation (Q)
|
55% |
2500
65.5 IPS |
