Samsung Galaxy Z Flip4
Geekbench AI Score
2076
Single Precision Score
2417
Half Precision Score
3356
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | almaspite |
| Upload Date | February 16 2026 06:39 PM |
| Views | 7 |
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% |
1657
308.2 IPS |
|
|
Image Classification (HP)
|
100% |
1228
228.4 IPS |
|
|
Image Classification (Q)
|
99% |
2400
447.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1686
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1571
25.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2670
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3110
3.63 IPS |
|
|
Pose Estimation (HP)
|
92% |
5794
6.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
6651
7.79 IPS |
|
|
Object Detection (SP)
|
98% |
1577
125.5 IPS |
|
|
Object Detection (HP)
|
97% |
1189
94.6 IPS |
|
|
Object Detection (Q)
|
85% |
2399
193.3 IPS |
|
|
Face Detection (SP)
|
100% |
2784
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
3911
46.5 IPS |
|
|
Face Detection (Q)
|
97% |
5130
61.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3290
25.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5214
40.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5678
52.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6816
8.85 IPS |
|
|
Style Transfer (HP)
|
88% |
6867
8.92 IPS |
|
|
Style Transfer (Q)
|
98% |
13646
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1625
60.0 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
2499
92.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3374
125.0 IPS |
|
|
Text Classification (SP)
|
100% |
713
952.1 IPS |
|
|
Text Classification (HP)
|
100% |
1046
1.40 KIPS |
|
|
Text Classification (Q)
|
93% |
1246
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1504
25.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1399
24.2 IPS |
|
|
Machine Translation (Q)
|
55% |
1062
28.5 IPS |
