Samsung Galaxy Z Flip4
Geekbench AI Score
155
Single Precision Score
10650
Half Precision Score
27132
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | October 28 2025 06:58 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
82
15.3 IPS |
|
|
Image Classification (HP)
|
100% |
7586
1.41 KIPS |
|
|
Image Classification (Q)
|
99% |
21016
3.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
123
1.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
6197
100.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
17922
291.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
195
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
38919
45.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
221744
260.0 IPS |
|
|
Object Detection (SP)
|
100% |
95
7.55 IPS |
|
|
Object Detection (HP)
|
100% |
7447
590.7 IPS |
|
|
Object Detection (Q)
|
88% |
11066
886.5 IPS |
|
|
Face Detection (SP)
|
100% |
225
2.67 IPS |
|
|
Face Detection (HP)
|
100% |
16167
192.1 IPS |
|
|
Face Detection (Q)
|
97% |
54326
647.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
191
1.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
27542
212.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
62568
576.0 IPS |
|
|
Style Transfer (SP)
|
100% |
351
0.45 IPS |
|
|
Style Transfer (HP)
|
98% |
40830
52.6 IPS |
|
|
Style Transfer (Q)
|
98% |
222567
287.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
105
3.89 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20864
770.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
67023
2.48 KIPS |
|
|
Text Classification (SP)
|
100% |
117
156.3 IPS |
|
|
Text Classification (HP)
|
100% |
1822
2.43 KIPS |
|
|
Text Classification (Q)
|
94% |
4090
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
235
4.05 IPS |
|
|
Machine Translation (HP)
|
100% |
1994
34.3 IPS |
|
|
Machine Translation (Q)
|
50% |
1128
39.1 IPS |
