Samsung Galaxy Z Fold3 5G
Geekbench AI Score
603
Single Precision Score
658
Half Precision Score
660
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 13 2024 04:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
407
75.7 IPS |
|
|
Image Classification (HP)
|
100% |
397
73.9 IPS |
|
|
Image Classification (Q)
|
97% |
384
71.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
745
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
957
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
869
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
737
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
396
0.46 IPS |
|
|
Pose Estimation (Q)
|
95% |
391
0.46 IPS |
|
|
Object Detection (SP)
|
100% |
301
23.9 IPS |
|
|
Object Detection (HP)
|
100% |
317
25.1 IPS |
|
|
Object Detection (Q)
|
89% |
320
25.7 IPS |
|
|
Face Detection (SP)
|
100% |
1294
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
1803
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
1545
18.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
829
6.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
936
7.24 IPS |
|
|
Depth Estimation (Q)
|
62% |
830
7.86 IPS |
|
|
Style Transfer (SP)
|
100% |
1825
2.35 IPS |
|
|
Style Transfer (HP)
|
100% |
2615
3.36 IPS |
|
|
Style Transfer (Q)
|
98% |
2618
3.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
359
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
546
20.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
528
19.6 IPS |
|
|
Text Classification (SP)
|
100% |
301
402.2 IPS |
|
|
Text Classification (HP)
|
100% |
301
402.3 IPS |
|
|
Text Classification (Q)
|
91% |
544
731.5 IPS |
|
|
Machine Translation (SP)
|
100% |
447
7.70 IPS |
|
|
Machine Translation (HP)
|
100% |
441
7.59 IPS |
|
|
Machine Translation (Q)
|
57% |
392
9.59 IPS |
