Samsung Galaxy Z Flip4
Geekbench AI Score
1559
Single Precision Score
1547
Half Precision Score
2191
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | BengtC |
| Upload Date | April 19 2025 08:59 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1500
278.9 IPS |
|
|
Image Classification (HP)
|
100% |
1607
298.8 IPS |
|
|
Image Classification (Q)
|
100% |
2424
450.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1660
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1665
27.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2663
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2870
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2708
3.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
4189
4.97 IPS |
|
|
Object Detection (SP)
|
98% |
1043
83.0 IPS |
|
|
Object Detection (HP)
|
98% |
1042
82.9 IPS |
|
|
Object Detection (Q)
|
83% |
1406
113.6 IPS |
|
|
Face Detection (SP)
|
100% |
2042
24.3 IPS |
|
|
Face Detection (HP)
|
100% |
2044
24.3 IPS |
|
|
Face Detection (Q)
|
95% |
3022
36.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2291
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2312
17.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3248
29.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4619
6.00 IPS |
|
|
Style Transfer (HP)
|
89% |
4619
6.00 IPS |
|
|
Style Transfer (Q)
|
98% |
8442
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1101
40.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1101
40.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2127
78.8 IPS |
|
|
Text Classification (SP)
|
100% |
445
593.4 IPS |
|
|
Text Classification (HP)
|
99% |
398
531.4 IPS |
|
|
Text Classification (Q)
|
88% |
769
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1077
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1090
18.8 IPS |
|
|
Machine Translation (Q)
|
50% |
496
17.6 IPS |
