Samsung Galaxy Z Flip4
Geekbench AI Score
715
Single Precision Score
978
Half Precision Score
1000
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | BengtC |
| Upload Date | April 19 2025 09:07 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
366
68.0 IPS |
|
|
Image Classification (HP)
|
100% |
401
74.5 IPS |
|
|
Image Classification (Q)
|
97% |
346
64.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1024
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1258
20.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1147
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
752
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
1305
1.52 IPS |
|
|
Pose Estimation (Q)
|
95% |
1313
1.54 IPS |
|
|
Object Detection (SP)
|
100% |
409
32.4 IPS |
|
|
Object Detection (HP)
|
100% |
596
47.2 IPS |
|
|
Object Detection (Q)
|
89% |
666
53.3 IPS |
|
|
Face Detection (SP)
|
100% |
1759
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
1736
20.6 IPS |
|
|
Face Detection (Q)
|
97% |
1746
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1140
8.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
2556
19.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2069
19.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2924
3.76 IPS |
|
|
Style Transfer (HP)
|
100% |
6549
8.42 IPS |
|
|
Style Transfer (Q)
|
98% |
6568
8.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
372
13.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
511
18.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
512
19.0 IPS |
|
|
Text Classification (SP)
|
100% |
290
386.7 IPS |
|
|
Text Classification (HP)
|
100% |
292
390.4 IPS |
|
|
Text Classification (Q)
|
91% |
552
741.8 IPS |
|
|
Machine Translation (SP)
|
100% |
479
8.25 IPS |
|
|
Machine Translation (HP)
|
100% |
474
8.16 IPS |
|
|
Machine Translation (Q)
|
57% |
433
10.6 IPS |
