Samsung Galaxy Z Fold3 5G
Geekbench AI Score
678
Single Precision Score
690
Half Precision Score
1160
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 11:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Fold3 5G |
| Model ID | samsung SM-F926U1 |
| 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% |
376
69.9 IPS |
|
|
Image Classification (HP)
|
100% |
375
69.8 IPS |
|
|
Image Classification (Q)
|
100% |
1002
186.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
465
7.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
467
7.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
1175
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1785
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1668
1.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
1858
2.20 IPS |
|
|
Object Detection (SP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (HP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (Q)
|
83% |
725
58.6 IPS |
|
|
Face Detection (SP)
|
100% |
921
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
897
10.7 IPS |
|
|
Face Detection (Q)
|
95% |
1706
20.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1232
9.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
1233
9.50 IPS |
|
|
Depth Estimation (Q)
|
64% |
1607
14.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2143
2.78 IPS |
|
|
Style Transfer (HP)
|
89% |
2095
2.72 IPS |
|
|
Style Transfer (Q)
|
98% |
4454
5.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
685
25.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
669
24.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
980
36.3 IPS |
|
|
Text Classification (SP)
|
100% |
276
367.8 IPS |
|
|
Text Classification (HP)
|
100% |
346
461.4 IPS |
|
|
Text Classification (Q)
|
88% |
584
787.7 IPS |
|
|
Machine Translation (SP)
|
100% |
550
9.48 IPS |
|
|
Machine Translation (HP)
|
100% |
605
10.4 IPS |
|
|
Machine Translation (Q)
|
50% |
400
14.2 IPS |
