Samsung Galaxy Z Flip3
Geekbench AI Score
407
Single Precision Score
765
Half Precision Score
100
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | December 12 2025 04:44 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
555
103.3 IPS |
|
|
Image Classification (HP)
|
100% |
1093
203.3 IPS |
|
|
Image Classification (Q)
|
94% |
18
3.31 IPS |
|
|
Image Segmentation (SP)
|
100% |
994
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1629
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
427
6.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
1609
1.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
4773
5.57 IPS |
|
|
Pose Estimation (Q)
|
98% |
1352
1.58 IPS |
|
|
Object Detection (SP)
|
100% |
399
31.7 IPS |
|
|
Object Detection (HP)
|
99% |
718
57.0 IPS |
|
|
Object Detection (Q)
|
2% |
12
275.7 IPS |
|
|
Face Detection (SP)
|
100% |
1320
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
414
4.92 IPS |
|
|
Face Detection (Q)
|
97% |
906
10.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
574
4.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
357
2.75 IPS |
|
|
Depth Estimation (Q)
|
5% |
37
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1706
2.19 IPS |
|
|
Style Transfer (HP)
|
100% |
588
0.76 IPS |
|
|
Style Transfer (Q)
|
18% |
12
0.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
591
21.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2197
81.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
259
9.60 IPS |
|
|
Text Classification (SP)
|
100% |
2
2.88 IPS |
|
|
Text Classification (HP)
|
100% |
189
252.3 IPS |
|
|
Text Classification (Q)
|
93% |
34
45.2 IPS |
|
|
Machine Translation (SP)
|
100% |
232
4.00 IPS |
|
|
Machine Translation (HP)
|
100% |
313
5.39 IPS |
|
|
Machine Translation (Q)
|
57% |
237
5.79 IPS |
