Samsung Galaxy Z Flip4
Geekbench AI Score
345
Single Precision Score
342
Half Precision Score
779
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | July 02 2025 09:38 PM |
| Views | 3 |
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-F721N |
| 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% |
194
36.2 IPS |
|
|
Image Classification (HP)
|
100% |
187
34.7 IPS |
|
|
Image Classification (Q)
|
100% |
602
111.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
184
2.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
519
8.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
767
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
765
0.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
1668
1.98 IPS |
|
|
Object Detection (SP)
|
98% |
150
12.0 IPS |
|
|
Object Detection (HP)
|
98% |
153
12.2 IPS |
|
|
Object Detection (Q)
|
83% |
540
43.6 IPS |
|
|
Face Detection (SP)
|
100% |
461
5.47 IPS |
|
|
Face Detection (HP)
|
100% |
469
5.57 IPS |
|
|
Face Detection (Q)
|
95% |
1157
13.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
642
4.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
638
4.93 IPS |
|
|
Depth Estimation (Q)
|
64% |
1186
10.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1214
1.58 IPS |
|
|
Style Transfer (HP)
|
89% |
1206
1.57 IPS |
|
|
Style Transfer (Q)
|
98% |
3301
4.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
370
13.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
369
13.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
784
29.1 IPS |
|
|
Text Classification (SP)
|
100% |
150
200.3 IPS |
|
|
Text Classification (HP)
|
99% |
154
205.6 IPS |
|
|
Text Classification (Q)
|
88% |
347
467.8 IPS |
|
|
Machine Translation (SP)
|
100% |
275
4.74 IPS |
|
|
Machine Translation (HP)
|
100% |
272
4.69 IPS |
|
|
Machine Translation (Q)
|
50% |
240
8.52 IPS |
