Samsung Galaxy Z Fold5
Geekbench AI Score
844
Single Precision Score
762
Half Precision Score
1390
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 06:25 PM |
| Views | 1 |
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 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% |
871
162.0 IPS |
|
|
Image Classification (HP)
|
100% |
309
57.5 IPS |
|
|
Image Classification (Q)
|
100% |
1384
257.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
727
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
724
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1624
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1941
2.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1432
1.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
2464
2.92 IPS |
|
|
Object Detection (SP)
|
98% |
448
35.6 IPS |
|
|
Object Detection (HP)
|
98% |
556
44.2 IPS |
|
|
Object Detection (Q)
|
83% |
1035
83.6 IPS |
|
|
Face Detection (SP)
|
100% |
963
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
963
11.4 IPS |
|
|
Face Detection (Q)
|
95% |
1415
16.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1342
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
840
6.49 IPS |
|
|
Depth Estimation (Q)
|
64% |
2387
21.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2824
3.67 IPS |
|
|
Style Transfer (HP)
|
89% |
2922
3.79 IPS |
|
|
Style Transfer (Q)
|
98% |
5243
6.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
464
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
759
28.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1392
51.6 IPS |
|
|
Text Classification (SP)
|
100% |
343
457.7 IPS |
|
|
Text Classification (HP)
|
99% |
343
458.1 IPS |
|
|
Text Classification (Q)
|
88% |
523
705.2 IPS |
|
|
Machine Translation (SP)
|
100% |
580
10.00 IPS |
|
|
Machine Translation (HP)
|
100% |
607
10.5 IPS |
|
|
Machine Translation (Q)
|
50% |
365
12.9 IPS |
