Samsung Galaxy Z Flip4
Geekbench AI Score
1160
Single Precision Score
1937
Half Precision Score
1666
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | October 28 2025 06:21 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
929
172.7 IPS |
|
|
Image Classification (HP)
|
100% |
1446
268.9 IPS |
|
|
Image Classification (Q)
|
99% |
1472
274.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1806
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3240
52.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3009
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6740
7.86 IPS |
|
|
Pose Estimation (HP)
|
99% |
12626
14.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
6507
7.62 IPS |
|
|
Object Detection (SP)
|
100% |
403
32.0 IPS |
|
|
Object Detection (HP)
|
99% |
603
47.8 IPS |
|
|
Object Detection (Q)
|
85% |
606
48.8 IPS |
|
|
Face Detection (SP)
|
100% |
1939
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
3454
41.0 IPS |
|
|
Face Detection (Q)
|
97% |
2883
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3335
25.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
5687
44.0 IPS |
|
|
Depth Estimation (Q)
|
65% |
4912
44.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7385
9.49 IPS |
|
|
Style Transfer (HP)
|
100% |
13095
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
11740
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1023
37.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2023
74.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2029
75.2 IPS |
|
|
Text Classification (SP)
|
35% |
31
302.7 IPS |
|
|
Text Classification (HP)
|
35% |
46
414.2 IPS |
|
|
Text Classification (Q)
|
35% |
68
614.8 IPS |
|
|
Machine Translation (SP)
|
100% |
641
11.0 IPS |
|
|
Machine Translation (HP)
|
97% |
875
15.1 IPS |
|
|
Machine Translation (Q)
|
64% |
413
8.49 IPS |
