Samsung Galaxy Z Fold5
Geekbench AI Score
265
Single Precision Score
265
Half Precision Score
606
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 31 2024 03:31 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% |
160
29.8 IPS |
|
|
Image Classification (HP)
|
100% |
161
29.9 IPS |
|
|
Image Classification (Q)
|
99% |
415
77.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
213
3.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
442
7.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
289
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
269
0.31 IPS |
|
|
Pose Estimation (Q)
|
98% |
1092
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (HP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (Q)
|
87% |
449
36.0 IPS |
|
|
Face Detection (SP)
|
100% |
450
5.34 IPS |
|
|
Face Detection (HP)
|
100% |
452
5.37 IPS |
|
|
Face Detection (Q)
|
97% |
944
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
351
2.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
348
2.68 IPS |
|
|
Depth Estimation (Q)
|
64% |
731
6.64 IPS |
|
|
Style Transfer (SP)
|
100% |
510
0.66 IPS |
|
|
Style Transfer (HP)
|
100% |
543
0.70 IPS |
|
|
Style Transfer (Q)
|
98% |
1535
1.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
161
5.96 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
169
6.25 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
633
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
221
295.0 IPS |
|
|
Text Classification (HP)
|
100% |
224
298.6 IPS |
|
|
Text Classification (Q)
|
91% |
372
500.4 IPS |
|
|
Machine Translation (SP)
|
100% |
393
6.76 IPS |
|
|
Machine Translation (HP)
|
100% |
366
6.31 IPS |
|
|
Machine Translation (Q)
|
57% |
301
7.36 IPS |
