Samsung Galaxy Z Flip6
Geekbench AI Score
2128
Single Precision Score
2074
Half Precision Score
3056
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 08:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Flip6 |
| Model ID | samsung SM-F741B |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2136
397.2 IPS |
|
|
Image Classification (HP)
|
100% |
2144
398.8 IPS |
|
|
Image Classification (Q)
|
100% |
2891
537.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3566
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3942
4.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
3022
3.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
6686
7.93 IPS |
|
|
Object Detection (SP)
|
98% |
1514
120.5 IPS |
|
|
Object Detection (HP)
|
98% |
1513
120.4 IPS |
|
|
Object Detection (Q)
|
83% |
2113
170.7 IPS |
|
|
Face Detection (SP)
|
100% |
2853
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (Q)
|
95% |
4547
54.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2781
21.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2674
20.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4602
42.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7247
9.41 IPS |
|
|
Style Transfer (HP)
|
89% |
7205
9.35 IPS |
|
|
Style Transfer (Q)
|
98% |
13611
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1440
53.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1481
54.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3161
117.1 IPS |
|
|
Text Classification (SP)
|
100% |
542
723.6 IPS |
|
|
Text Classification (HP)
|
99% |
582
776.9 IPS |
|
|
Text Classification (Q)
|
88% |
953
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1440
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1271
21.9 IPS |
|
|
Machine Translation (Q)
|
50% |
569
20.2 IPS |
