Samsung Galaxy Z Fold6
Geekbench AI Score
2198
Single Precision Score
2343
Half Precision Score
3439
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 23 2024 09:52 AM |
| 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-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% |
2446
454.9 IPS |
|
|
Image Classification (HP)
|
100% |
2473
459.9 IPS |
|
|
Image Classification (Q)
|
100% |
3891
723.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2592
42.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2576
41.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3973
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3807
4.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
3873
4.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
7900
9.37 IPS |
|
|
Object Detection (SP)
|
98% |
1493
118.9 IPS |
|
|
Object Detection (HP)
|
98% |
1682
133.9 IPS |
|
|
Object Detection (Q)
|
83% |
2187
176.7 IPS |
|
|
Face Detection (SP)
|
100% |
3263
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
3354
39.8 IPS |
|
|
Face Detection (Q)
|
95% |
5158
61.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3389
26.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3308
25.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5520
50.6 IPS |
|
|
Style Transfer (SP)
|
89% |
8366
10.9 IPS |
|
|
Style Transfer (HP)
|
89% |
7552
9.80 IPS |
|
|
Style Transfer (Q)
|
98% |
14154
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1494
55.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1542
56.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3577
132.5 IPS |
|
|
Text Classification (SP)
|
100% |
609
813.0 IPS |
|
|
Text Classification (HP)
|
99% |
658
877.6 IPS |
|
|
Text Classification (Q)
|
88% |
906
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
870
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1414
24.3 IPS |
|
|
Machine Translation (Q)
|
50% |
664
23.6 IPS |
