Samsung Galaxy Z Flip5
Geekbench AI Score
735
Single Precision Score
765
Half Precision Score
1180
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 29 2025 08:10 PM |
| Views | 3 |
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-F731U |
| 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% |
420
78.1 IPS |
|
|
Image Classification (HP)
|
100% |
459
85.4 IPS |
|
|
Image Classification (Q)
|
100% |
860
160.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
525
8.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
515
8.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
873
14.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1489
1.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
1511
1.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
2418
2.87 IPS |
|
|
Object Detection (SP)
|
98% |
428
34.0 IPS |
|
|
Object Detection (HP)
|
98% |
529
42.1 IPS |
|
|
Object Detection (Q)
|
83% |
778
62.9 IPS |
|
|
Face Detection (SP)
|
100% |
1001
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
997
11.8 IPS |
|
|
Face Detection (Q)
|
95% |
1907
22.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1171
9.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
1166
9.01 IPS |
|
|
Depth Estimation (Q)
|
64% |
2219
20.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2817
3.66 IPS |
|
|
Style Transfer (HP)
|
89% |
2875
3.73 IPS |
|
|
Style Transfer (Q)
|
98% |
5269
6.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
543
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
753
27.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1574
58.3 IPS |
|
|
Text Classification (SP)
|
100% |
241
322.2 IPS |
|
|
Text Classification (HP)
|
99% |
228
304.1 IPS |
|
|
Text Classification (Q)
|
88% |
338
455.3 IPS |
|
|
Machine Translation (SP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
639
11.0 IPS |
|
|
Machine Translation (Q)
|
50% |
313
11.1 IPS |
