Samsung Galaxy Z Flip5
Geekbench AI Score
766
Single Precision Score
692
Half Precision Score
1326
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 23 2024 08:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Flip5 |
| Model ID | samsung SM-F731U1 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 6.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1049
195.1 IPS |
|
|
Image Classification (HP)
|
100% |
368
68.5 IPS |
|
|
Image Classification (Q)
|
100% |
1268
235.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
635
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
567
9.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
1578
25.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1386
1.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
1023
1.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
2799
3.32 IPS |
|
|
Object Detection (SP)
|
98% |
532
42.4 IPS |
|
|
Object Detection (HP)
|
98% |
543
43.2 IPS |
|
|
Object Detection (Q)
|
83% |
750
60.5 IPS |
|
|
Face Detection (SP)
|
100% |
962
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
722
8.58 IPS |
|
|
Face Detection (Q)
|
95% |
1622
19.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
872
6.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
1168
9.03 IPS |
|
|
Depth Estimation (Q)
|
64% |
1979
18.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2009
2.61 IPS |
|
|
Style Transfer (HP)
|
89% |
2869
3.72 IPS |
|
|
Style Transfer (Q)
|
98% |
5778
7.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
524
19.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
619
22.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1446
53.6 IPS |
|
|
Text Classification (SP)
|
100% |
236
315.2 IPS |
|
|
Text Classification (HP)
|
99% |
236
315.6 IPS |
|
|
Text Classification (Q)
|
88% |
488
657.9 IPS |
|
|
Machine Translation (SP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (Q)
|
50% |
306
10.9 IPS |
