Samsung Galaxy Z Flip3
Geekbench AI Score
498
Single Precision Score
937
Half Precision Score
115
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | February 06 2026 07:23 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
576
107.2 IPS |
|
|
Image Classification (HP)
|
100% |
1098
204.2 IPS |
|
|
Image Classification (Q)
|
94% |
18
3.31 IPS |
|
|
Image Segmentation (SP)
|
100% |
1018
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1676
27.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
600
9.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
2004
2.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
6425
7.50 IPS |
|
|
Pose Estimation (Q)
|
98% |
1269
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
513
40.7 IPS |
|
|
Object Detection (HP)
|
99% |
924
73.3 IPS |
|
|
Object Detection (Q)
|
2% |
13
300.0 IPS |
|
|
Face Detection (SP)
|
100% |
1515
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
498
5.92 IPS |
|
|
Face Detection (Q)
|
97% |
1211
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
666
5.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
421
3.24 IPS |
|
|
Depth Estimation (Q)
|
5% |
43
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1892
2.43 IPS |
|
|
Style Transfer (HP)
|
100% |
688
0.88 IPS |
|
|
Style Transfer (Q)
|
18% |
13
0.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
785
29.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2430
89.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
257
9.51 IPS |
|
|
Text Classification (SP)
|
100% |
3
4.05 IPS |
|
|
Text Classification (HP)
|
100% |
310
414.4 IPS |
|
|
Text Classification (Q)
|
93% |
34
46.0 IPS |
|
|
Machine Translation (SP)
|
100% |
350
6.02 IPS |
|
|
Machine Translation (HP)
|
100% |
444
7.65 IPS |
|
|
Machine Translation (Q)
|
57% |
385
9.40 IPS |
