Samsung Galaxy Z Fold6
Geekbench AI Score
300
Single Precision Score
21899
Half Precision Score
53970
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | DiegoCleir |
| Upload Date | March 08 2026 03:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
229
42.7 IPS |
|
|
Image Classification (HP)
|
100% |
16411
3.05 KIPS |
|
|
Image Classification (Q)
|
96% |
39707
7.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
248
4.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
10547
171.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
37528
610.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
346
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
99335
115.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
393664
460.8 IPS |
|
|
Object Detection (SP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
14396
1.14 KIPS |
|
|
Object Detection (Q)
|
86% |
24349
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
434
5.16 IPS |
|
|
Face Detection (HP)
|
100% |
30178
358.6 IPS |
|
|
Face Detection (Q)
|
97% |
99301
1.18 KIPS |
|
|
Depth Estimation (SP)
|
100% |
389
3.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
59797
460.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
131856
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
607
0.78 IPS |
|
|
Style Transfer (HP)
|
100% |
79475
102.2 IPS |
|
|
Style Transfer (Q)
|
98% |
407829
525.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
192
7.08 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43841
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
102420
3.80 KIPS |
|
|
Text Classification (SP)
|
100% |
218
291.4 IPS |
|
|
Text Classification (HP)
|
100% |
3708
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
9618
12.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
421
7.25 IPS |
|
|
Machine Translation (HP)
|
100% |
4396
75.7 IPS |
|
|
Machine Translation (Q)
|
55% |
2791
73.1 IPS |
