Samsung Galaxy Z Flip4
Geekbench AI Score
987
Single Precision Score
1003
Half Precision Score
1318
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | November 21 2025 08:44 AM |
| Views | 3 |
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-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% |
304
56.6 IPS |
|
|
Image Classification (HP)
|
100% |
438
81.4 IPS |
|
|
Image Classification (Q)
|
100% |
1019
189.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
364
5.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
422
6.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
472
7.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
1425
1.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
866
1.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
1796
2.13 IPS |
|
|
Object Detection (SP)
|
98% |
757
60.3 IPS |
|
|
Object Detection (HP)
|
98% |
869
69.2 IPS |
|
|
Object Detection (Q)
|
83% |
963
77.8 IPS |
|
|
Face Detection (SP)
|
100% |
1876
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
1908
22.7 IPS |
|
|
Face Detection (Q)
|
95% |
2831
33.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2159
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2160
16.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3012
27.6 IPS |
|
|
Style Transfer (SP)
|
89% |
4348
5.64 IPS |
|
|
Style Transfer (HP)
|
89% |
4388
5.70 IPS |
|
|
Style Transfer (Q)
|
98% |
7970
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1025
37.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1023
37.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1651
61.2 IPS |
|
|
Text Classification (SP)
|
100% |
406
541.3 IPS |
|
|
Text Classification (HP)
|
99% |
390
520.9 IPS |
|
|
Text Classification (Q)
|
88% |
723
974.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1036
17.8 IPS |
|
|
Machine Translation (Q)
|
50% |
235
8.33 IPS |
