Samsung Galaxy Z Flip4
Geekbench AI Score
1775
Single Precision Score
1776
Half Precision Score
2532
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | November 30 2025 10:30 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy Z Flip4 |
| Model ID | samsung SM-F721N |
| 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% |
1504
279.7 IPS |
|
|
Image Classification (HP)
|
100% |
1620
301.3 IPS |
|
|
Image Classification (Q)
|
100% |
2350
437.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1627
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1649
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2643
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2996
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2949
3.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
4997
5.93 IPS |
|
|
Object Detection (SP)
|
98% |
1098
87.3 IPS |
|
|
Object Detection (HP)
|
98% |
1235
98.3 IPS |
|
|
Object Detection (Q)
|
83% |
1512
122.1 IPS |
|
|
Face Detection (SP)
|
100% |
2260
26.8 IPS |
|
|
Face Detection (HP)
|
100% |
2255
26.8 IPS |
|
|
Face Detection (Q)
|
95% |
4245
50.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2981
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2982
23.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4629
42.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6209
8.06 IPS |
|
|
Style Transfer (HP)
|
89% |
5778
7.50 IPS |
|
|
Style Transfer (Q)
|
98% |
10932
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1339
49.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1232
45.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2484
92.0 IPS |
|
|
Text Classification (SP)
|
100% |
531
708.9 IPS |
|
|
Text Classification (HP)
|
99% |
515
687.6 IPS |
|
|
Text Classification (Q)
|
88% |
866
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1298
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1304
22.5 IPS |
|
|
Machine Translation (Q)
|
50% |
501
17.8 IPS |
