Samsung Galaxy Z Flip5
Geekbench AI Score
741
Single Precision Score
745
Half Precision Score
1392
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | RolandFromHolland85 |
| Upload Date | September 26 2025 03:51 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy Z Flip5 |
| Model ID | samsung SM-F731B |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 7.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
868
161.5 IPS |
|
|
Image Classification (HP)
|
100% |
665
123.7 IPS |
|
|
Image Classification (Q)
|
100% |
1596
296.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
429
6.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
589
9.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
1539
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1466
1.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
1371
1.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
2959
3.51 IPS |
|
|
Object Detection (SP)
|
98% |
307
24.4 IPS |
|
|
Object Detection (HP)
|
98% |
289
23.0 IPS |
|
|
Object Detection (Q)
|
83% |
891
72.0 IPS |
|
|
Face Detection (SP)
|
100% |
932
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
859
10.2 IPS |
|
|
Face Detection (Q)
|
95% |
1879
22.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1212
9.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
1118
8.64 IPS |
|
|
Depth Estimation (Q)
|
64% |
2346
21.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2864
3.72 IPS |
|
|
Style Transfer (HP)
|
89% |
2971
3.86 IPS |
|
|
Style Transfer (Q)
|
98% |
5197
6.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
644
23.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
653
24.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1239
45.9 IPS |
|
|
Text Classification (SP)
|
100% |
237
316.1 IPS |
|
|
Text Classification (HP)
|
99% |
237
316.3 IPS |
|
|
Text Classification (Q)
|
88% |
448
603.9 IPS |
|
|
Machine Translation (SP)
|
100% |
610
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
771
13.3 IPS |
|
|
Machine Translation (Q)
|
50% |
333
11.8 IPS |
