Samsung Galaxy Z Flip5
Geekbench AI Score
1625
Single Precision Score
1574
Half Precision Score
2372
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 03:45 PM |
| Views | 2 |
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-F731B |
| 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% |
1501
279.1 IPS |
|
|
Image Classification (HP)
|
100% |
1676
311.7 IPS |
|
|
Image Classification (Q)
|
100% |
2749
511.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1885
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1912
31.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2911
47.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3022
3.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
2984
3.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
6561
7.78 IPS |
|
|
Object Detection (SP)
|
98% |
1613
128.4 IPS |
|
|
Object Detection (HP)
|
98% |
1020
81.2 IPS |
|
|
Object Detection (Q)
|
83% |
1450
117.1 IPS |
|
|
Face Detection (SP)
|
100% |
2109
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
2076
24.7 IPS |
|
|
Face Detection (Q)
|
95% |
3218
38.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1804
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2046
15.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3220
29.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5064
6.57 IPS |
|
|
Style Transfer (HP)
|
89% |
5046
6.55 IPS |
|
|
Style Transfer (Q)
|
98% |
9072
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1124
41.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1115
41.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2233
82.8 IPS |
|
|
Text Classification (SP)
|
100% |
426
569.2 IPS |
|
|
Text Classification (HP)
|
99% |
408
544.4 IPS |
|
|
Text Classification (Q)
|
88% |
722
973.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (Q)
|
50% |
489
17.4 IPS |
