Samsung Galaxy Z Flip3
Geekbench AI Score
350
Single Precision Score
320
Half Precision Score
637
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | February 05 2026 07:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
182
33.8 IPS |
|
|
Image Classification (HP)
|
100% |
199
36.9 IPS |
|
|
Image Classification (Q)
|
100% |
480
89.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
189
3.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
187
3.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
541
8.80 IPS |
|
|
Pose Estimation (SP)
|
100% |
1025
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
652
0.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
1121
1.33 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (Q)
|
83% |
483
39.1 IPS |
|
|
Face Detection (SP)
|
100% |
374
4.44 IPS |
|
|
Face Detection (HP)
|
100% |
357
4.25 IPS |
|
|
Face Detection (Q)
|
95% |
940
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
870
6.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
544
4.19 IPS |
|
|
Depth Estimation (Q)
|
64% |
1138
10.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1117
1.45 IPS |
|
|
Style Transfer (HP)
|
89% |
1163
1.51 IPS |
|
|
Style Transfer (Q)
|
98% |
2832
3.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
309
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
296
10.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
631
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
170
227.1 IPS |
|
|
Text Classification (HP)
|
100% |
170
227.2 IPS |
|
|
Text Classification (Q)
|
88% |
268
361.5 IPS |
|
|
Machine Translation (SP)
|
100% |
246
4.24 IPS |
|
|
Machine Translation (HP)
|
100% |
242
4.16 IPS |
|
|
Machine Translation (Q)
|
50% |
154
5.47 IPS |
