Samsung Galaxy Z Flip3
Geekbench AI Score
757
Single Precision Score
748
Half Precision Score
1196
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Da_lioX |
| Upload Date | September 01 2025 11:58 PM |
| Views | 11 |
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% |
476
88.6 IPS |
|
|
Image Classification (HP)
|
100% |
481
89.4 IPS |
|
|
Image Classification (Q)
|
100% |
1365
253.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
607
9.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
604
9.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
1594
25.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2326
2.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
2296
2.68 IPS |
|
|
Pose Estimation (Q)
|
84% |
3175
3.76 IPS |
|
|
Object Detection (SP)
|
100% |
390
30.9 IPS |
|
|
Object Detection (HP)
|
100% |
369
29.2 IPS |
|
|
Object Detection (Q)
|
83% |
1017
82.1 IPS |
|
|
Face Detection (SP)
|
100% |
1234
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
1197
14.2 IPS |
|
|
Face Detection (Q)
|
95% |
2435
29.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1679
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1667
12.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2334
21.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2974
3.86 IPS |
|
|
Style Transfer (HP)
|
89% |
2982
3.87 IPS |
|
|
Style Transfer (Q)
|
98% |
5684
7.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
902
33.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
916
33.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
642
23.8 IPS |
|
|
Text Classification (SP)
|
100% |
171
228.3 IPS |
|
|
Text Classification (HP)
|
100% |
169
225.1 IPS |
|
|
Text Classification (Q)
|
88% |
270
364.6 IPS |
|
|
Machine Translation (SP)
|
100% |
249
4.29 IPS |
|
|
Machine Translation (HP)
|
100% |
243
4.19 IPS |
|
|
Machine Translation (Q)
|
50% |
153
5.44 IPS |
