Samsung Galaxy Z Fold5
Geekbench AI Score
277
Single Precision Score
276
Half Precision Score
625
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 12:59 AM |
| 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-F946N |
| 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% |
161
29.9 IPS |
|
|
Image Classification (HP)
|
100% |
161
29.9 IPS |
|
|
Image Classification (Q)
|
99% |
415
77.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
213
3.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
443
7.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
290
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
289
0.34 IPS |
|
|
Pose Estimation (Q)
|
98% |
1096
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (HP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (Q)
|
87% |
451
36.2 IPS |
|
|
Face Detection (SP)
|
100% |
451
5.36 IPS |
|
|
Face Detection (HP)
|
100% |
454
5.40 IPS |
|
|
Face Detection (Q)
|
97% |
950
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
379
2.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
378
2.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
821
7.45 IPS |
|
|
Style Transfer (SP)
|
100% |
633
0.81 IPS |
|
|
Style Transfer (HP)
|
100% |
595
0.77 IPS |
|
|
Style Transfer (Q)
|
98% |
1681
2.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
180
6.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
183
6.75 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
635
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
223
298.3 IPS |
|
|
Text Classification (HP)
|
100% |
224
298.7 IPS |
|
|
Text Classification (Q)
|
91% |
373
501.7 IPS |
|
|
Machine Translation (SP)
|
100% |
399
6.87 IPS |
|
|
Machine Translation (HP)
|
100% |
401
6.92 IPS |
|
|
Machine Translation (Q)
|
57% |
326
7.97 IPS |
