Samsung Galaxy Z Fold3 5G
Geekbench AI Score
359
Single Precision Score
392
Half Precision Score
49
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 23 2024 01:03 PM |
| Views | 28 |
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-F926B |
| 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% |
531
98.7 IPS |
|
|
Image Classification (HP)
|
100% |
974
181.2 IPS |
|
|
Image Classification (Q)
|
94% |
17
3.22 IPS |
|
|
Image Segmentation (SP)
|
100% |
878
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
85
1.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
1998
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
6429
7.50 IPS |
|
|
Pose Estimation (Q)
|
98% |
248
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
540
42.8 IPS |
|
|
Object Detection (HP)
|
99% |
904
71.7 IPS |
|
|
Object Detection (Q)
|
2% |
8
190.3 IPS |
|
|
Face Detection (SP)
|
100% |
1464
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
81
0.96 IPS |
|
|
Face Detection (Q)
|
97% |
218
2.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
183
1.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
76
0.59 IPS |
|
|
Depth Estimation (Q)
|
5% |
32
55.0 IPS |
|
|
Style Transfer (SP)
|
100% |
694
0.89 IPS |
|
|
Style Transfer (HP)
|
100% |
136
0.17 IPS |
|
|
Style Transfer (Q)
|
18% |
9
0.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
989
36.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3113
115.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
255
9.45 IPS |
|
|
Text Classification (SP)
|
100% |
4
5.99 IPS |
|
|
Text Classification (HP)
|
100% |
52
70.0 IPS |
|
|
Text Classification (Q)
|
93% |
26
35.5 IPS |
|
|
Machine Translation (SP)
|
100% |
97
1.66 IPS |
|
|
Machine Translation (HP)
|
100% |
87
1.50 IPS |
|
|
Machine Translation (Q)
|
57% |
76
1.86 IPS |
