Samsung Galaxy Z Flip4
Geekbench AI Score
1776
Single Precision Score
1599
Half Precision Score
2355
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | November 21 2025 08:53 AM |
| Views | 4 |
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% |
1491
277.2 IPS |
|
|
Image Classification (HP)
|
100% |
1529
284.3 IPS |
|
|
Image Classification (Q)
|
100% |
2380
442.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1660
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1677
27.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2625
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2740
3.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2633
3.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
5716
6.78 IPS |
|
|
Object Detection (SP)
|
98% |
1390
110.6 IPS |
|
|
Object Detection (HP)
|
98% |
1395
111.0 IPS |
|
|
Object Detection (Q)
|
83% |
1835
148.2 IPS |
|
|
Face Detection (SP)
|
100% |
2459
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
2459
29.2 IPS |
|
|
Face Detection (Q)
|
95% |
4092
48.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2917
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2938
22.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4416
40.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5820
7.56 IPS |
|
|
Style Transfer (HP)
|
89% |
5820
7.56 IPS |
|
|
Style Transfer (Q)
|
98% |
10407
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1258
46.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
442
16.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2573
95.3 IPS |
|
|
Text Classification (SP)
|
100% |
505
674.1 IPS |
|
|
Text Classification (HP)
|
99% |
505
673.8 IPS |
|
|
Text Classification (Q)
|
88% |
295
397.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1252
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1238
21.3 IPS |
|
|
Machine Translation (Q)
|
50% |
563
20.0 IPS |
