Samsung Galaxy Z Flip3
Geekbench AI Score
915
Single Precision Score
1374
Half Precision Score
1245
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Da_lioX |
| Upload Date | September 02 2025 12:28 AM |
| Views | 13 |
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% |
671
124.7 IPS |
|
|
Image Classification (HP)
|
100% |
1022
190.1 IPS |
|
|
Image Classification (Q)
|
99% |
896
167.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1170
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1798
29.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1434
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4798
5.60 IPS |
|
|
Pose Estimation (HP)
|
99% |
8192
9.56 IPS |
|
|
Pose Estimation (Q)
|
97% |
7984
9.35 IPS |
|
|
Object Detection (SP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
717
56.9 IPS |
|
|
Object Detection (Q)
|
85% |
674
54.2 IPS |
|
|
Face Detection (SP)
|
100% |
1654
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
2412
28.7 IPS |
|
|
Face Detection (Q)
|
97% |
2491
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2382
18.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3311
25.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2694
24.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5869
7.54 IPS |
|
|
Style Transfer (HP)
|
100% |
11070
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
10926
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1100
40.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1639
60.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1575
58.4 IPS |
|
|
Text Classification (SP)
|
35% |
33
319.9 IPS |
|
|
Text Classification (HP)
|
35% |
45
412.0 IPS |
|
|
Text Classification (Q)
|
35% |
43
386.8 IPS |
|
|
Machine Translation (SP)
|
100% |
240
4.13 IPS |
|
|
Machine Translation (HP)
|
97% |
343
5.93 IPS |
|
|
Machine Translation (Q)
|
64% |
262
5.39 IPS |
