Samsung Galaxy Z Flip3
Geekbench AI Score
562
Single Precision Score
859
Half Precision Score
775
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | crypt3r |
| Upload Date | September 22 2025 01:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
436
81.0 IPS |
|
|
Image Classification (HP)
|
100% |
600
111.7 IPS |
|
|
Image Classification (Q)
|
99% |
570
106.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
742
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1150
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
975
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2715
3.17 IPS |
|
|
Pose Estimation (HP)
|
99% |
4912
5.73 IPS |
|
|
Pose Estimation (Q)
|
97% |
4556
5.34 IPS |
|
|
Object Detection (SP)
|
100% |
313
24.8 IPS |
|
|
Object Detection (HP)
|
99% |
450
35.7 IPS |
|
|
Object Detection (Q)
|
85% |
395
31.8 IPS |
|
|
Face Detection (SP)
|
100% |
1057
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1578
18.8 IPS |
|
|
Face Detection (Q)
|
97% |
1385
16.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1357
10.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
1897
14.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1516
14.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3279
4.22 IPS |
|
|
Style Transfer (HP)
|
100% |
6447
8.29 IPS |
|
|
Style Transfer (Q)
|
98% |
6342
8.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
650
24.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
930
34.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
922
34.2 IPS |
|
|
Text Classification (SP)
|
35% |
20
192.3 IPS |
|
|
Text Classification (HP)
|
35% |
33
303.5 IPS |
|
|
Text Classification (Q)
|
35% |
34
306.9 IPS |
|
|
Machine Translation (SP)
|
100% |
188
3.23 IPS |
|
|
Machine Translation (HP)
|
97% |
243
4.20 IPS |
|
|
Machine Translation (Q)
|
64% |
188
3.87 IPS |
