Samsung Galaxy Z Flip3
Geekbench AI Score
583
Single Precision Score
603
Half Precision Score
610
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Luk30002as |
| Upload Date | May 18 2025 03:06 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Flip3 |
| Model ID | samsung SM-F711B |
| 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 | 7.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
401
74.7 IPS |
|
|
Image Classification (HP)
|
100% |
400
74.4 IPS |
|
|
Image Classification (Q)
|
97% |
384
71.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
588
9.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
752
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
738
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
410
0.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
402
0.47 IPS |
|
|
Object Detection (SP)
|
100% |
337
26.8 IPS |
|
|
Object Detection (HP)
|
100% |
287
22.7 IPS |
|
|
Object Detection (Q)
|
89% |
324
26.0 IPS |
|
|
Face Detection (SP)
|
100% |
1167
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1207
14.3 IPS |
|
|
Face Detection (Q)
|
97% |
1187
14.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
999
7.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
1168
9.03 IPS |
|
|
Depth Estimation (Q)
|
62% |
929
8.79 IPS |
|
|
Style Transfer (SP)
|
100% |
1920
2.47 IPS |
|
|
Style Transfer (HP)
|
100% |
2989
3.84 IPS |
|
|
Style Transfer (Q)
|
98% |
2954
3.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
376
13.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
532
19.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
486
18.0 IPS |
|
|
Text Classification (SP)
|
100% |
246
328.9 IPS |
|
|
Text Classification (HP)
|
100% |
247
329.5 IPS |
|
|
Text Classification (Q)
|
91% |
400
537.2 IPS |
|
|
Machine Translation (SP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.50 IPS |
|
|
Machine Translation (Q)
|
57% |
300
7.34 IPS |
