Samsung Galaxy Z Flip4
Geekbench AI Score
306
Single Precision Score
301
Half Precision Score
734
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | November 29 2025 04:46 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
199
37.0 IPS |
|
|
Image Classification (HP)
|
100% |
206
38.4 IPS |
|
|
Image Classification (Q)
|
99% |
589
109.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
258
4.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
259
4.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
627
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
338
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
316
0.37 IPS |
|
|
Pose Estimation (Q)
|
98% |
1284
1.50 IPS |
|
|
Object Detection (SP)
|
100% |
180
14.3 IPS |
|
|
Object Detection (HP)
|
100% |
180
14.3 IPS |
|
|
Object Detection (Q)
|
87% |
549
44.1 IPS |
|
|
Face Detection (SP)
|
100% |
492
5.85 IPS |
|
|
Face Detection (HP)
|
100% |
473
5.62 IPS |
|
|
Face Detection (Q)
|
97% |
1125
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
387
2.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
374
2.88 IPS |
|
|
Depth Estimation (Q)
|
64% |
926
8.41 IPS |
|
|
Style Transfer (SP)
|
100% |
639
0.82 IPS |
|
|
Style Transfer (HP)
|
100% |
633
0.81 IPS |
|
|
Style Transfer (Q)
|
98% |
1596
2.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
183
6.77 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
185
6.84 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
668
24.8 IPS |
|
|
Text Classification (SP)
|
100% |
237
316.2 IPS |
|
|
Text Classification (HP)
|
100% |
235
314.2 IPS |
|
|
Text Classification (Q)
|
91% |
448
602.8 IPS |
|
|
Machine Translation (SP)
|
100% |
440
7.58 IPS |
|
|
Machine Translation (HP)
|
100% |
420
7.24 IPS |
|
|
Machine Translation (Q)
|
57% |
355
8.67 IPS |
