Samsung Galaxy Z Flip5
Geekbench AI Score
1025
Single Precision Score
1042
Half Precision Score
1506
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | casperswift |
| Upload Date | November 01 2024 12:38 AM |
| Views | 6 |
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-F731U |
| 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% |
761
141.5 IPS |
|
|
Image Classification (HP)
|
100% |
765
142.3 IPS |
|
|
Image Classification (Q)
|
100% |
1161
215.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
834
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
923
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1302
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1446
1.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
1480
1.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
3215
3.81 IPS |
|
|
Object Detection (SP)
|
98% |
759
60.4 IPS |
|
|
Object Detection (HP)
|
98% |
760
60.5 IPS |
|
|
Object Detection (Q)
|
83% |
1056
85.3 IPS |
|
|
Face Detection (SP)
|
100% |
1543
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
1587
18.9 IPS |
|
|
Face Detection (Q)
|
95% |
2221
26.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1502
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1521
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2313
21.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3705
4.81 IPS |
|
|
Style Transfer (HP)
|
89% |
3698
4.80 IPS |
|
|
Style Transfer (Q)
|
98% |
6433
8.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
788
29.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
792
29.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1634
60.5 IPS |
|
|
Text Classification (SP)
|
100% |
332
442.5 IPS |
|
|
Text Classification (HP)
|
99% |
331
441.9 IPS |
|
|
Text Classification (Q)
|
88% |
558
753.0 IPS |
|
|
Machine Translation (SP)
|
100% |
825
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
814
14.0 IPS |
|
|
Machine Translation (Q)
|
50% |
389
13.8 IPS |
