Samsung Galaxy Z Fold6
Geekbench AI Score
1696
Single Precision Score
1834
Half Precision Score
2739
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 08:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Fold6 |
| Model ID | samsung SM-F956U1 |
| 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% |
1257
233.8 IPS |
|
|
Image Classification (HP)
|
100% |
1839
342.1 IPS |
|
|
Image Classification (Q)
|
100% |
3505
651.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2055
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1860
30.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2816
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1859
2.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2638
3.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
5796
6.87 IPS |
|
|
Object Detection (SP)
|
98% |
1166
92.8 IPS |
|
|
Object Detection (HP)
|
98% |
1177
93.7 IPS |
|
|
Object Detection (Q)
|
83% |
1660
134.1 IPS |
|
|
Face Detection (SP)
|
100% |
2660
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
2695
32.0 IPS |
|
|
Face Detection (Q)
|
95% |
3988
47.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2652
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2650
20.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4167
38.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6405
8.31 IPS |
|
|
Style Transfer (HP)
|
89% |
6415
8.33 IPS |
|
|
Style Transfer (Q)
|
98% |
11913
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1262
46.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1389
51.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2943
109.1 IPS |
|
|
Text Classification (SP)
|
100% |
526
701.9 IPS |
|
|
Text Classification (HP)
|
99% |
515
687.9 IPS |
|
|
Text Classification (Q)
|
88% |
754
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1179
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1237
21.3 IPS |
|
|
Machine Translation (Q)
|
50% |
570
20.3 IPS |
