Samsung Galaxy Z Flip4
Geekbench AI Score
259
Single Precision Score
11869
Half Precision Score
32549
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | almaspite |
| Upload Date | February 16 2026 07:15 PM |
| Views | 7 |
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% |
150
27.9 IPS |
|
|
Image Classification (HP)
|
100% |
8135
1.51 KIPS |
|
|
Image Classification (Q)
|
99% |
22455
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
197
3.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
6301
102.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
23168
376.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
269
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
37142
43.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
223090
261.6 IPS |
|
|
Object Detection (SP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (HP)
|
100% |
7895
626.2 IPS |
|
|
Object Detection (Q)
|
87% |
14687
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
399
4.74 IPS |
|
|
Face Detection (HP)
|
100% |
17386
206.6 IPS |
|
|
Face Detection (Q)
|
97% |
64744
772.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
344
2.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
28291
218.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
78824
724.3 IPS |
|
|
Style Transfer (SP)
|
100% |
605
0.78 IPS |
|
|
Style Transfer (HP)
|
100% |
38748
49.8 IPS |
|
|
Style Transfer (Q)
|
98% |
220130
283.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
170
6.28 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21594
797.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
71241
2.64 KIPS |
|
|
Text Classification (SP)
|
100% |
219
291.8 IPS |
|
|
Text Classification (HP)
|
100% |
2537
3.39 KIPS |
|
|
Text Classification (Q)
|
94% |
6021
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (HP)
|
100% |
3536
60.9 IPS |
|
|
Machine Translation (Q)
|
52% |
1625
48.9 IPS |
