Samsung Galaxy Z Fold6
Geekbench AI Score
405
Single Precision Score
22196
Half Precision Score
50632
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | F0xMaster |
| Upload Date | December 18 2024 08:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
299
55.6 IPS |
|
|
Image Classification (HP)
|
100% |
18329
3.41 KIPS |
|
|
Image Classification (Q)
|
97% |
42920
8.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
367
5.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
11035
178.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
31445
511.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
488
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
100134
116.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
398006
465.8 IPS |
|
|
Object Detection (SP)
|
100% |
221
17.6 IPS |
|
|
Object Detection (HP)
|
100% |
15347
1.22 KIPS |
|
|
Object Detection (Q)
|
86% |
19141
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
514
6.10 IPS |
|
|
Face Detection (HP)
|
100% |
32970
391.8 IPS |
|
|
Face Detection (Q)
|
97% |
113350
1.35 KIPS |
|
|
Depth Estimation (SP)
|
100% |
493
3.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
64110
493.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
117166
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
789
1.01 IPS |
|
|
Style Transfer (HP)
|
98% |
85482
110.2 IPS |
|
|
Style Transfer (Q)
|
98% |
422817
545.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
268
9.88 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44346
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
104183
3.86 KIPS |
|
|
Text Classification (SP)
|
100% |
334
445.4 IPS |
|
|
Text Classification (HP)
|
100% |
3114
4.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6952
9.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
565
9.74 IPS |
|
|
Machine Translation (HP)
|
100% |
3743
64.5 IPS |
|
|
Machine Translation (Q)
|
55% |
2648
69.4 IPS |
