Samsung Galaxy Z Flip4
Geekbench AI Score
183
Single Precision Score
181
Half Precision Score
423
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | October 28 2025 06:45 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
111
20.6 IPS |
|
|
Image Classification (HP)
|
100% |
111
20.7 IPS |
|
|
Image Classification (Q)
|
99% |
293
54.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
146
2.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
147
2.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
315
5.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
202
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
203
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
772
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
111
8.77 IPS |
|
|
Object Detection (HP)
|
100% |
111
8.82 IPS |
|
|
Object Detection (Q)
|
87% |
320
25.7 IPS |
|
|
Face Detection (SP)
|
100% |
295
3.51 IPS |
|
|
Face Detection (HP)
|
100% |
303
3.60 IPS |
|
|
Face Detection (Q)
|
97% |
656
7.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
258
1.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
259
1.99 IPS |
|
|
Depth Estimation (Q)
|
64% |
616
5.59 IPS |
|
|
Style Transfer (SP)
|
100% |
463
0.60 IPS |
|
|
Style Transfer (HP)
|
100% |
465
0.60 IPS |
|
|
Style Transfer (Q)
|
98% |
1136
1.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
115
4.25 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
119
4.41 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
412
15.3 IPS |
|
|
Text Classification (SP)
|
100% |
133
176.9 IPS |
|
|
Text Classification (HP)
|
100% |
117
155.8 IPS |
|
|
Text Classification (Q)
|
91% |
207
278.4 IPS |
|
|
Machine Translation (SP)
|
100% |
226
3.89 IPS |
|
|
Machine Translation (HP)
|
100% |
206
3.55 IPS |
|
|
Machine Translation (Q)
|
57% |
206
5.03 IPS |
