Samsung Galaxy Z Flip3
Geekbench AI Score
236
Single Precision Score
322
Half Precision Score
48
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | crypt3r |
| Upload Date | September 22 2025 02:52 PM |
| Views | 4 |
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% |
273
50.7 IPS |
|
|
Image Classification (HP)
|
100% |
599
111.4 IPS |
|
|
Image Classification (Q)
|
94% |
17
3.21 IPS |
|
|
Image Segmentation (SP)
|
100% |
524
8.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
867
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
86
1.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
1901
2.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
5834
6.81 IPS |
|
|
Pose Estimation (Q)
|
98% |
255
0.30 IPS |
|
|
Object Detection (SP)
|
100% |
468
37.1 IPS |
|
|
Object Detection (HP)
|
99% |
798
63.3 IPS |
|
|
Object Detection (Q)
|
2% |
6
149.6 IPS |
|
|
Face Detection (SP)
|
100% |
1167
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
78
0.93 IPS |
|
|
Face Detection (Q)
|
97% |
212
2.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
160
1.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
69
0.53 IPS |
|
|
Depth Estimation (Q)
|
5% |
31
52.4 IPS |
|
|
Style Transfer (SP)
|
100% |
608
0.78 IPS |
|
|
Style Transfer (HP)
|
100% |
133
0.17 IPS |
|
|
Style Transfer (Q)
|
18% |
9
0.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
550
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1698
62.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
256
9.47 IPS |
|
|
Text Classification (SP)
|
100% |
1
1.53 IPS |
|
|
Text Classification (HP)
|
100% |
49
65.9 IPS |
|
|
Text Classification (Q)
|
93% |
25
33.3 IPS |
|
|
Machine Translation (SP)
|
100% |
70
1.21 IPS |
|
|
Machine Translation (HP)
|
100% |
85
1.47 IPS |
|
|
Machine Translation (Q)
|
57% |
77
1.87 IPS |
