Samsung Galaxy Z Fold5
Geekbench AI Score
244
Single Precision Score
15982
Half Precision Score
36024
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 31 2024 03:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
12449
2.32 KIPS |
|
|
Image Classification (Q)
|
97% |
32128
6.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
7434
120.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
20999
341.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
289
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
72842
85.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
293089
343.0 IPS |
|
|
Object Detection (SP)
|
100% |
133
10.5 IPS |
|
|
Object Detection (HP)
|
100% |
11603
920.3 IPS |
|
|
Object Detection (Q)
|
86% |
13083
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
378
4.50 IPS |
|
|
Face Detection (HP)
|
100% |
23213
275.8 IPS |
|
|
Face Detection (Q)
|
97% |
77458
923.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
301
2.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
44312
341.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
80152
750.5 IPS |
|
|
Style Transfer (SP)
|
100% |
544
0.70 IPS |
|
|
Style Transfer (HP)
|
98% |
60695
78.3 IPS |
|
|
Style Transfer (Q)
|
98% |
292493
377.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
154
5.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32455
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
81893
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
185
247.0 IPS |
|
|
Text Classification (HP)
|
100% |
2507
3.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5622
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
336
5.78 IPS |
|
|
Machine Translation (HP)
|
100% |
2737
47.1 IPS |
|
|
Machine Translation (Q)
|
55% |
1702
44.6 IPS |
