Samsung Galaxy Z Fold6
Geekbench AI Score
1884
Single Precision Score
1929
Half Precision Score
2755
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 19 2025 06:29 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-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% |
1624
301.9 IPS |
|
|
Image Classification (HP)
|
100% |
2223
413.5 IPS |
|
|
Image Classification (Q)
|
100% |
3249
604.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2393
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2478
40.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3999
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3192
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3138
3.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
6966
8.26 IPS |
|
|
Object Detection (SP)
|
98% |
1385
110.2 IPS |
|
|
Object Detection (HP)
|
98% |
1262
100.4 IPS |
|
|
Object Detection (Q)
|
83% |
1138
91.9 IPS |
|
|
Face Detection (SP)
|
100% |
2664
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
2724
32.4 IPS |
|
|
Face Detection (Q)
|
95% |
4197
50.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2611
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2666
20.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4005
36.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6411
8.32 IPS |
|
|
Style Transfer (HP)
|
89% |
6411
8.32 IPS |
|
|
Style Transfer (Q)
|
98% |
12001
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1325
48.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1370
50.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2882
106.8 IPS |
|
|
Text Classification (SP)
|
100% |
550
734.3 IPS |
|
|
Text Classification (HP)
|
99% |
510
681.3 IPS |
|
|
Text Classification (Q)
|
88% |
807
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1007
17.3 IPS |
|
|
Machine Translation (Q)
|
50% |
523
18.6 IPS |
