Samsung Galaxy Z Flip4
Geekbench AI Score
350
Single Precision Score
11314
Half Precision Score
30193
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | November 29 2025 04:30 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
212
39.4 IPS |
|
|
Image Classification (HP)
|
100% |
8568
1.59 KIPS |
|
|
Image Classification (Q)
|
99% |
24786
4.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
273
4.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
6685
108.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
19370
315.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
364
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
38395
44.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
227453
266.7 IPS |
|
|
Object Detection (SP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (HP)
|
100% |
7981
633.1 IPS |
|
|
Object Detection (Q)
|
88% |
12421
995.1 IPS |
|
|
Face Detection (SP)
|
100% |
554
6.58 IPS |
|
|
Face Detection (HP)
|
100% |
18562
220.6 IPS |
|
|
Face Detection (Q)
|
97% |
75314
898.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
451
3.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
28427
219.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
67342
620.0 IPS |
|
|
Style Transfer (SP)
|
100% |
768
0.99 IPS |
|
|
Style Transfer (HP)
|
98% |
40626
52.4 IPS |
|
|
Style Transfer (Q)
|
98% |
227100
292.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
222
8.19 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21906
808.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
73294
2.72 KIPS |
|
|
Text Classification (SP)
|
100% |
303
405.0 IPS |
|
|
Text Classification (HP)
|
100% |
1909
2.55 KIPS |
|
|
Text Classification (Q)
|
94% |
4445
5.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
494
8.51 IPS |
|
|
Machine Translation (HP)
|
100% |
2186
37.7 IPS |
|
|
Machine Translation (Q)
|
50% |
1237
42.8 IPS |
