Samsung Galaxy Z Fold5
Geekbench AI Score
860
Single Precision Score
1115
Half Precision Score
1111
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 31 2024 03:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
675
125.4 IPS |
|
|
Image Classification (HP)
|
100% |
921
171.2 IPS |
|
|
Image Classification (Q)
|
96% |
803
149.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1243
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1144
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1038
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
997
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1436
1.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
1429
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
500
39.6 IPS |
|
|
Object Detection (HP)
|
100% |
757
60.1 IPS |
|
|
Object Detection (Q)
|
87% |
842
67.6 IPS |
|
|
Face Detection (SP)
|
100% |
2242
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
3089
36.7 IPS |
|
|
Face Detection (Q)
|
97% |
3143
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1524
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2906
22.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2388
22.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3871
4.98 IPS |
|
|
Style Transfer (HP)
|
100% |
8736
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8657
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
456
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
373
13.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
373
13.8 IPS |
|
|
Text Classification (SP)
|
100% |
223
297.9 IPS |
|
|
Text Classification (HP)
|
100% |
223
297.5 IPS |
|
|
Text Classification (Q)
|
91% |
363
488.3 IPS |
|
|
Machine Translation (SP)
|
100% |
397
6.84 IPS |
|
|
Machine Translation (HP)
|
100% |
398
6.85 IPS |
|
|
Machine Translation (Q)
|
57% |
326
7.97 IPS |
