Samsung Galaxy Z Flip4
Geekbench AI Score
1142
Single Precision Score
1124
Half Precision Score
1590
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 09 2024 07:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Flip4 |
| Model ID | samsung SM-F721B |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.10 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
840
156.1 IPS |
|
|
Image Classification (HP)
|
100% |
853
158.6 IPS |
|
|
Image Classification (Q)
|
100% |
1249
232.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
977
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
986
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1412
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1898
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1899
2.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
3282
3.89 IPS |
|
|
Object Detection (SP)
|
98% |
825
65.6 IPS |
|
|
Object Detection (HP)
|
98% |
827
65.8 IPS |
|
|
Object Detection (Q)
|
83% |
1099
88.7 IPS |
|
|
Face Detection (SP)
|
100% |
1617
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
1620
19.2 IPS |
|
|
Face Detection (Q)
|
95% |
2356
28.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
1846
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1465
11.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2493
22.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3747
4.86 IPS |
|
|
Style Transfer (HP)
|
89% |
3747
4.86 IPS |
|
|
Style Transfer (Q)
|
98% |
6767
8.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
882
32.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
882
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1656
61.4 IPS |
|
|
Text Classification (SP)
|
100% |
322
429.6 IPS |
|
|
Text Classification (HP)
|
99% |
347
462.9 IPS |
|
|
Text Classification (Q)
|
88% |
613
827.1 IPS |
|
|
Machine Translation (SP)
|
100% |
931
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
898
15.5 IPS |
|
|
Machine Translation (Q)
|
50% |
404
14.3 IPS |
