Samsung Galaxy Z Flip5
Geekbench AI Score
793
Single Precision Score
752
Half Precision Score
1422
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | casperswift |
| Upload Date | February 02 2025 02:19 PM |
| Views | 4 |
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% |
804
149.5 IPS |
|
|
Image Classification (HP)
|
100% |
420
78.1 IPS |
|
|
Image Classification (Q)
|
100% |
1545
287.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
437
7.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
781
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1541
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1419
1.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
1468
1.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
2463
2.92 IPS |
|
|
Object Detection (SP)
|
98% |
423
33.7 IPS |
|
|
Object Detection (HP)
|
98% |
507
40.4 IPS |
|
|
Object Detection (Q)
|
83% |
1027
82.9 IPS |
|
|
Face Detection (SP)
|
100% |
732
8.70 IPS |
|
|
Face Detection (HP)
|
100% |
737
8.76 IPS |
|
|
Face Detection (Q)
|
95% |
2101
25.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
1112
8.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
1115
8.62 IPS |
|
|
Depth Estimation (Q)
|
64% |
2171
19.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2871
3.73 IPS |
|
|
Style Transfer (HP)
|
89% |
2864
3.72 IPS |
|
|
Style Transfer (Q)
|
98% |
4733
6.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
765
28.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
516
19.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1157
42.9 IPS |
|
|
Text Classification (SP)
|
100% |
339
452.5 IPS |
|
|
Text Classification (HP)
|
99% |
333
444.9 IPS |
|
|
Text Classification (Q)
|
88% |
594
801.5 IPS |
|
|
Machine Translation (SP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
592
10.2 IPS |
|
|
Machine Translation (Q)
|
50% |
379
13.4 IPS |
