Samsung Galaxy Z Fold5
Geekbench AI Score
463
Single Precision Score
459
Half Precision Score
994
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 31 2024 04:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Fold5 |
| Model ID | samsung SM-F946B |
| 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 | 10.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
302
56.2 IPS |
|
|
Image Classification (HP)
|
100% |
304
56.4 IPS |
|
|
Image Classification (Q)
|
99% |
723
134.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
390
6.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
757
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
510
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
505
0.59 IPS |
|
|
Pose Estimation (Q)
|
98% |
2030
2.38 IPS |
|
|
Object Detection (SP)
|
100% |
286
22.7 IPS |
|
|
Object Detection (HP)
|
100% |
292
23.1 IPS |
|
|
Object Detection (Q)
|
87% |
801
64.2 IPS |
|
|
Face Detection (SP)
|
100% |
698
8.30 IPS |
|
|
Face Detection (HP)
|
100% |
704
8.36 IPS |
|
|
Face Detection (Q)
|
97% |
1532
18.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
610
4.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
613
4.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
1514
13.7 IPS |
|
|
Style Transfer (SP)
|
100% |
974
1.25 IPS |
|
|
Style Transfer (HP)
|
100% |
854
1.10 IPS |
|
|
Style Transfer (Q)
|
98% |
1962
2.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
290
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
290
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1016
37.7 IPS |
|
|
Text Classification (SP)
|
100% |
373
498.2 IPS |
|
|
Text Classification (HP)
|
100% |
372
495.9 IPS |
|
|
Text Classification (Q)
|
91% |
538
723.4 IPS |
|
|
Machine Translation (SP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (Q)
|
57% |
428
10.5 IPS |
