Samsung Galaxy Z Flip3
Geekbench AI Score
551
Single Precision Score
833
Half Precision Score
770
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | December 12 2025 04:23 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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% |
396
73.7 IPS |
|
|
Image Classification (HP)
|
100% |
566
105.3 IPS |
|
|
Image Classification (Q)
|
99% |
593
110.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
727
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1161
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
993
16.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2692
3.14 IPS |
|
|
Pose Estimation (HP)
|
99% |
4621
5.39 IPS |
|
|
Pose Estimation (Q)
|
97% |
4538
5.31 IPS |
|
|
Object Detection (SP)
|
100% |
296
23.5 IPS |
|
|
Object Detection (HP)
|
99% |
394
31.2 IPS |
|
|
Object Detection (Q)
|
85% |
366
29.5 IPS |
|
|
Face Detection (SP)
|
100% |
1034
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1492
17.7 IPS |
|
|
Face Detection (Q)
|
97% |
1331
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1288
9.92 IPS |
|
|
Depth Estimation (HP)
|
98% |
1854
14.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1521
14.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3221
4.14 IPS |
|
|
Style Transfer (HP)
|
100% |
6247
8.03 IPS |
|
|
Style Transfer (Q)
|
98% |
6155
7.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
612
22.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
860
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
844
31.3 IPS |
|
|
Text Classification (SP)
|
35% |
20
192.0 IPS |
|
|
Text Classification (HP)
|
35% |
33
303.9 IPS |
|
|
Text Classification (Q)
|
35% |
33
299.5 IPS |
|
|
Machine Translation (SP)
|
100% |
218
3.75 IPS |
|
|
Machine Translation (HP)
|
97% |
277
4.78 IPS |
|
|
Machine Translation (Q)
|
64% |
216
4.43 IPS |
