Samsung Galaxy Z Flip3
Geekbench AI Score
609
Single Precision Score
619
Half Precision Score
950
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | February 06 2026 08:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
307
57.0 IPS |
|
|
Image Classification (HP)
|
100% |
352
65.5 IPS |
|
|
Image Classification (Q)
|
100% |
964
179.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
439
7.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
1110
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1727
2.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
1731
2.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
1743
2.07 IPS |
|
|
Object Detection (SP)
|
100% |
263
20.8 IPS |
|
|
Object Detection (HP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (Q)
|
83% |
723
58.4 IPS |
|
|
Face Detection (SP)
|
100% |
920
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
908
10.8 IPS |
|
|
Face Detection (Q)
|
95% |
1701
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1226
9.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
1242
9.57 IPS |
|
|
Depth Estimation (Q)
|
64% |
1605
14.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2114
2.74 IPS |
|
|
Style Transfer (HP)
|
89% |
2174
2.82 IPS |
|
|
Style Transfer (Q)
|
98% |
4017
5.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
680
25.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
692
25.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
981
36.4 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.1 IPS |
|
|
Text Classification (HP)
|
100% |
284
378.7 IPS |
|
|
Text Classification (Q)
|
88% |
265
357.7 IPS |
|
|
Machine Translation (SP)
|
100% |
251
4.32 IPS |
|
|
Machine Translation (HP)
|
100% |
245
4.22 IPS |
|
|
Machine Translation (Q)
|
50% |
156
5.52 IPS |
