Samsung Galaxy Z Flip4
Geekbench AI Score
280
Single Precision Score
271
Half Precision Score
646
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | BengtC |
| Upload Date | April 19 2025 09:26 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
209
38.9 IPS |
|
|
Image Classification (HP)
|
100% |
209
38.8 IPS |
|
|
Image Classification (Q)
|
99% |
588
109.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
261
4.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
255
4.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
566
9.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
302
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
235
0.27 IPS |
|
|
Pose Estimation (Q)
|
98% |
1045
1.22 IPS |
|
|
Object Detection (SP)
|
100% |
156
12.3 IPS |
|
|
Object Detection (HP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (Q)
|
87% |
447
35.9 IPS |
|
|
Face Detection (SP)
|
100% |
432
5.14 IPS |
|
|
Face Detection (HP)
|
100% |
433
5.15 IPS |
|
|
Face Detection (Q)
|
97% |
979
11.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
329
2.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
328
2.53 IPS |
|
|
Depth Estimation (Q)
|
64% |
754
6.84 IPS |
|
|
Style Transfer (SP)
|
100% |
562
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
545
0.70 IPS |
|
|
Style Transfer (Q)
|
98% |
1440
1.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
166
6.13 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
166
6.14 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
587
21.8 IPS |
|
|
Text Classification (SP)
|
100% |
216
287.8 IPS |
|
|
Text Classification (HP)
|
100% |
225
299.9 IPS |
|
|
Text Classification (Q)
|
91% |
409
550.1 IPS |
|
|
Machine Translation (SP)
|
100% |
406
7.00 IPS |
|
|
Machine Translation (HP)
|
100% |
387
6.67 IPS |
|
|
Machine Translation (Q)
|
57% |
324
7.93 IPS |
