Samsung Galaxy Z Fold3 5G
Geekbench AI Score
322
Single Precision Score
358
Half Precision Score
49
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | September 05 2024 01:48 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Fold3 5G |
| Model ID | samsung SM-F926N |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM SM8350 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 11.09 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
304
56.6 IPS |
|
|
Image Classification (HP)
|
100% |
569
105.8 IPS |
|
|
Image Classification (Q)
|
94% |
17
3.21 IPS |
|
|
Image Segmentation (SP)
|
100% |
725
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
986
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
84
1.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
1814
2.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
6914
8.07 IPS |
|
|
Pose Estimation (Q)
|
98% |
248
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
532
42.2 IPS |
|
|
Object Detection (HP)
|
99% |
885
70.2 IPS |
|
|
Object Detection (Q)
|
2% |
8
193.3 IPS |
|
|
Face Detection (SP)
|
100% |
1426
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
76
0.91 IPS |
|
|
Face Detection (Q)
|
97% |
203
2.42 IPS |
|
|
Depth Estimation (SP)
|
100% |
176
1.36 IPS |
|
|
Depth Estimation (HP)
|
100% |
73
0.56 IPS |
|
|
Depth Estimation (Q)
|
4% |
32
61.1 IPS |
|
|
Style Transfer (SP)
|
100% |
670
0.86 IPS |
|
|
Style Transfer (HP)
|
100% |
134
0.17 IPS |
|
|
Style Transfer (Q)
|
18% |
9
0.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
979
36.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3047
112.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
256
9.48 IPS |
|
|
Text Classification (SP)
|
100% |
4
5.80 IPS |
|
|
Text Classification (HP)
|
100% |
53
71.2 IPS |
|
|
Text Classification (Q)
|
93% |
27
36.8 IPS |
|
|
Machine Translation (SP)
|
100% |
86
1.49 IPS |
|
|
Machine Translation (HP)
|
100% |
85
1.46 IPS |
|
|
Machine Translation (Q)
|
57% |
76
1.85 IPS |
