Samsung Galaxy Z Fold6
Geekbench AI Score
2124
Single Precision Score
2115
Half Precision Score
2808
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 15 2025 03:56 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy Z Fold6 |
| Model ID | samsung SM-F956U |
| 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% |
2026
376.8 IPS |
|
|
Image Classification (HP)
|
100% |
2359
438.6 IPS |
|
|
Image Classification (Q)
|
100% |
2845
529.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2534
41.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3792
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3950
4.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3228
3.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
5985
7.10 IPS |
|
|
Object Detection (SP)
|
98% |
1392
110.8 IPS |
|
|
Object Detection (HP)
|
98% |
1390
110.6 IPS |
|
|
Object Detection (Q)
|
83% |
1025
82.8 IPS |
|
|
Face Detection (SP)
|
100% |
2770
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
2822
33.5 IPS |
|
|
Face Detection (Q)
|
95% |
4299
51.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3206
24.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3164
24.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4906
44.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7446
9.67 IPS |
|
|
Style Transfer (HP)
|
89% |
6790
8.81 IPS |
|
|
Style Transfer (Q)
|
98% |
12601
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1325
48.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1358
50.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3139
116.3 IPS |
|
|
Text Classification (SP)
|
100% |
589
786.0 IPS |
|
|
Text Classification (HP)
|
99% |
589
785.6 IPS |
|
|
Text Classification (Q)
|
88% |
852
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1405
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1383
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
649
23.0 IPS |
