Samsung Galaxy Z Fold6
Geekbench AI Score
396
Single Precision Score
21787
Half Precision Score
49370
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 09 2025 08:45 AM |
| Views | 3 |
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-F956N |
| 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% |
318
59.2 IPS |
|
|
Image Classification (HP)
|
100% |
18016
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
40022
7.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
386
6.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
10790
174.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
31198
507.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
511
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
100116
116.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
397720
465.5 IPS |
|
|
Object Detection (SP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (HP)
|
100% |
15911
1.26 KIPS |
|
|
Object Detection (Q)
|
86% |
19904
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
552
6.56 IPS |
|
|
Face Detection (HP)
|
100% |
31963
379.8 IPS |
|
|
Face Detection (Q)
|
97% |
108619
1.30 KIPS |
|
|
Depth Estimation (SP)
|
100% |
456
3.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
61184
471.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
108398
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
705
0.91 IPS |
|
|
Style Transfer (HP)
|
98% |
84928
109.5 IPS |
|
|
Style Transfer (Q)
|
98% |
421874
544.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
248
9.17 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44109
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103481
3.83 KIPS |
|
|
Text Classification (SP)
|
100% |
313
417.9 IPS |
|
|
Text Classification (HP)
|
100% |
3078
4.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6793
9.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
507
8.73 IPS |
|
|
Machine Translation (HP)
|
100% |
3452
59.5 IPS |
|
|
Machine Translation (Q)
|
55% |
2493
65.3 IPS |
