Samsung Galaxy Z Flip3
Geekbench AI Score
352
Single Precision Score
388
Half Precision Score
49
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Da_lioX |
| Upload Date | September 02 2025 12:56 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy Z Flip3 |
| Model ID | samsung SM-F711B |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM SM8350 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
516
96.0 IPS |
|
|
Image Classification (HP)
|
100% |
938
174.5 IPS |
|
|
Image Classification (Q)
|
94% |
17
3.21 IPS |
|
|
Image Segmentation (SP)
|
100% |
862
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
87
1.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
2001
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
6999
8.17 IPS |
|
|
Pose Estimation (Q)
|
98% |
255
0.30 IPS |
|
|
Object Detection (SP)
|
100% |
529
42.0 IPS |
|
|
Object Detection (HP)
|
99% |
910
72.2 IPS |
|
|
Object Detection (Q)
|
2% |
8
192.3 IPS |
|
|
Face Detection (SP)
|
100% |
1404
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
77
0.91 IPS |
|
|
Face Detection (Q)
|
97% |
206
2.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
178
1.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
72
0.56 IPS |
|
|
Depth Estimation (Q)
|
5% |
32
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
669
0.86 IPS |
|
|
Style Transfer (HP)
|
100% |
134
0.17 IPS |
|
|
Style Transfer (Q)
|
18% |
9
0.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
978
36.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3204
118.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
257
9.52 IPS |
|
|
Text Classification (SP)
|
100% |
4
5.50 IPS |
|
|
Text Classification (HP)
|
100% |
50
67.3 IPS |
|
|
Text Classification (Q)
|
93% |
27
35.9 IPS |
|
|
Machine Translation (SP)
|
100% |
95
1.63 IPS |
|
|
Machine Translation (HP)
|
100% |
86
1.48 IPS |
|
|
Machine Translation (Q)
|
57% |
77
1.89 IPS |
