Samsung Galaxy Z Fold6
Geekbench AI Score
2776
Single Precision Score
2779
Half Precision Score
4127
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | August 24 2025 09:49 PM |
| Views | 2 |
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-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% |
2110
392.5 IPS |
|
|
Image Classification (HP)
|
100% |
2464
458.3 IPS |
|
|
Image Classification (Q)
|
100% |
2819
524.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2791
45.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2785
45.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4345
70.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4270
4.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
4172
4.87 IPS |
|
|
Pose Estimation (Q)
|
84% |
9570
11.3 IPS |
|
|
Object Detection (SP)
|
98% |
2189
174.2 IPS |
|
|
Object Detection (HP)
|
98% |
1925
153.2 IPS |
|
|
Object Detection (Q)
|
83% |
2695
217.7 IPS |
|
|
Face Detection (SP)
|
100% |
3910
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
3761
44.7 IPS |
|
|
Face Detection (Q)
|
95% |
5803
69.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3644
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3622
28.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5919
54.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9469
12.3 IPS |
|
|
Style Transfer (HP)
|
89% |
10435
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
20242
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2086
77.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2142
79.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5202
192.8 IPS |
|
|
Text Classification (SP)
|
100% |
981
1.31 KIPS |
|
|
Text Classification (HP)
|
99% |
911
1.22 KIPS |
|
|
Text Classification (Q)
|
88% |
1390
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1790
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1803
31.1 IPS |
|
|
Machine Translation (Q)
|
50% |
904
32.1 IPS |
