Samsung Galaxy Z Flip3
Geekbench AI Score
732
Single Precision Score
719
Half Precision Score
1256
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | crypt3r |
| Upload Date | September 22 2025 01:51 PM |
| Views | 7 |
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% |
501
93.2 IPS |
|
|
Image Classification (HP)
|
100% |
493
91.7 IPS |
|
|
Image Classification (Q)
|
100% |
1518
282.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
589
9.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
584
9.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
1728
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2147
2.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
1844
2.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
2465
2.92 IPS |
|
|
Object Detection (SP)
|
100% |
360
28.6 IPS |
|
|
Object Detection (HP)
|
100% |
362
28.7 IPS |
|
|
Object Detection (Q)
|
83% |
1010
81.6 IPS |
|
|
Face Detection (SP)
|
100% |
1216
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1216
14.4 IPS |
|
|
Face Detection (Q)
|
95% |
2433
29.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1681
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1693
13.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2142
19.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2780
3.61 IPS |
|
|
Style Transfer (HP)
|
89% |
2815
3.65 IPS |
|
|
Style Transfer (Q)
|
98% |
5395
6.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
852
31.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
847
31.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1287
47.7 IPS |
|
|
Text Classification (SP)
|
100% |
162
215.6 IPS |
|
|
Text Classification (HP)
|
100% |
158
210.8 IPS |
|
|
Text Classification (Q)
|
88% |
270
364.0 IPS |
|
|
Machine Translation (SP)
|
100% |
249
4.28 IPS |
|
|
Machine Translation (HP)
|
100% |
248
4.26 IPS |
|
|
Machine Translation (Q)
|
50% |
154
5.48 IPS |
