Samsung Galaxy Z Flip4
Geekbench AI Score
1378
Single Precision Score
1367
Half Precision Score
2182
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | October 28 2025 06:17 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
490
91.1 IPS |
|
|
Image Classification (HP)
|
100% |
388
72.1 IPS |
|
|
Image Classification (Q)
|
100% |
1748
325.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1317
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1917
31.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1743
2.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2572
3.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
5351
6.35 IPS |
|
|
Object Detection (SP)
|
98% |
1330
105.8 IPS |
|
|
Object Detection (HP)
|
98% |
1198
95.3 IPS |
|
|
Object Detection (Q)
|
83% |
1756
141.8 IPS |
|
|
Face Detection (SP)
|
100% |
2386
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
2397
28.5 IPS |
|
|
Face Detection (Q)
|
95% |
3861
46.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2760
21.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2751
21.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4163
38.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5647
7.33 IPS |
|
|
Style Transfer (HP)
|
89% |
5191
6.74 IPS |
|
|
Style Transfer (Q)
|
98% |
8014
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1043
38.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1041
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1956
72.5 IPS |
|
|
Text Classification (SP)
|
100% |
386
515.6 IPS |
|
|
Text Classification (HP)
|
99% |
385
514.4 IPS |
|
|
Text Classification (Q)
|
88% |
677
912.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1106
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1075
18.5 IPS |
|
|
Machine Translation (Q)
|
50% |
457
16.2 IPS |
