Samsung Galaxy Z Flip5
Geekbench AI Score
840
Single Precision Score
809
Half Precision Score
1356
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | ChrisCR8IV |
| Upload Date | August 28 2024 03:13 AM |
| Views | 3 |
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% |
1011
187.9 IPS |
|
|
Image Classification (HP)
|
100% |
683
127.0 IPS |
|
|
Image Classification (Q)
|
100% |
1566
291.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
743
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1298
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1203
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1500
1.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
2719
3.22 IPS |
|
|
Object Detection (SP)
|
98% |
527
41.9 IPS |
|
|
Object Detection (HP)
|
98% |
312
24.8 IPS |
|
|
Object Detection (Q)
|
87% |
925
74.3 IPS |
|
|
Face Detection (SP)
|
100% |
972
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
959
11.4 IPS |
|
|
Face Detection (Q)
|
95% |
1535
18.3 IPS |
|
|
Depth Estimation (SP)
|
98% |
1197
9.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
1319
10.2 IPS |
|
|
Depth Estimation (Q)
|
75% |
1834
14.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2885
3.75 IPS |
|
|
Style Transfer (HP)
|
89% |
2950
3.83 IPS |
|
|
Style Transfer (Q)
|
98% |
5012
6.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
746
27.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
749
27.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1405
52.1 IPS |
|
|
Text Classification (SP)
|
100% |
237
316.0 IPS |
|
|
Text Classification (HP)
|
99% |
311
414.8 IPS |
|
|
Text Classification (Q)
|
88% |
518
698.2 IPS |
|
|
Machine Translation (SP)
|
100% |
625
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (Q)
|
50% |
401
14.2 IPS |
