Samsung Galaxy Z Flip5
Geekbench AI Score
1229
Single Precision Score
1140
Half Precision Score
1720
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 29 2025 01:29 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-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% |
1511
281.1 IPS |
|
|
Image Classification (HP)
|
100% |
1312
244.1 IPS |
|
|
Image Classification (Q)
|
100% |
2717
505.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1890
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1237
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2424
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2462
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1809
2.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
3223
3.82 IPS |
|
|
Object Detection (SP)
|
98% |
760
60.5 IPS |
|
|
Object Detection (HP)
|
98% |
763
60.7 IPS |
|
|
Object Detection (Q)
|
83% |
1066
86.1 IPS |
|
|
Face Detection (SP)
|
100% |
1404
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
1595
19.0 IPS |
|
|
Face Detection (Q)
|
95% |
2234
26.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1505
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1535
11.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2368
21.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3721
4.83 IPS |
|
|
Style Transfer (HP)
|
89% |
3743
4.86 IPS |
|
|
Style Transfer (Q)
|
98% |
6496
8.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
802
29.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
792
29.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1620
60.0 IPS |
|
|
Text Classification (SP)
|
100% |
306
408.0 IPS |
|
|
Text Classification (HP)
|
99% |
305
407.6 IPS |
|
|
Text Classification (Q)
|
88% |
498
671.2 IPS |
|
|
Machine Translation (SP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (Q)
|
50% |
363
12.9 IPS |
