Samsung Galaxy Z Flip4
Geekbench AI Score
232
Single Precision Score
10859
Half Precision Score
28933
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | BengtC |
| Upload Date | April 19 2025 09:37 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
214
39.8 IPS |
|
|
Image Classification (HP)
|
100% |
8559
1.59 KIPS |
|
|
Image Classification (Q)
|
99% |
24229
4.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
252
4.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
6629
107.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19174
311.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
254
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
35993
42.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
224487
263.2 IPS |
|
|
Object Detection (SP)
|
100% |
116
9.22 IPS |
|
|
Object Detection (HP)
|
100% |
7652
607.0 IPS |
|
|
Object Detection (Q)
|
88% |
11782
943.8 IPS |
|
|
Face Detection (SP)
|
100% |
332
3.95 IPS |
|
|
Face Detection (HP)
|
100% |
17735
210.7 IPS |
|
|
Face Detection (Q)
|
97% |
67350
803.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
274
2.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
24903
192.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
64084
590.0 IPS |
|
|
Style Transfer (SP)
|
100% |
482
0.62 IPS |
|
|
Style Transfer (HP)
|
98% |
40380
52.1 IPS |
|
|
Style Transfer (Q)
|
98% |
224808
289.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
131
4.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21538
795.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
70121
2.60 KIPS |
|
|
Text Classification (SP)
|
100% |
170
226.5 IPS |
|
|
Text Classification (HP)
|
100% |
1861
2.48 KIPS |
|
|
Text Classification (Q)
|
94% |
4179
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
299
5.15 IPS |
|
|
Machine Translation (HP)
|
100% |
2041
35.2 IPS |
|
|
Machine Translation (Q)
|
50% |
1177
40.8 IPS |
