Samsung Galaxy Z Fold6
Geekbench AI Score
307
Single Precision Score
21611
Half Precision Score
48847
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | riussi |
| Upload Date | January 28 2025 05:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Fold6 |
| Model ID | samsung SM-F956B |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
196
36.5 IPS |
|
|
Image Classification (HP)
|
100% |
17077
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
40303
7.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
265
4.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
10815
175.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
29377
477.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
327
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
99749
116.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
395680
463.1 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
15584
1.24 KIPS |
|
|
Object Detection (Q)
|
86% |
19331
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
488
5.80 IPS |
|
|
Face Detection (HP)
|
100% |
31762
377.4 IPS |
|
|
Face Detection (Q)
|
97% |
104296
1.24 KIPS |
|
|
Depth Estimation (SP)
|
100% |
389
3.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
63112
486.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
113730
1.06 KIPS |
|
|
Style Transfer (SP)
|
100% |
642
0.83 IPS |
|
|
Style Transfer (HP)
|
98% |
84970
109.6 IPS |
|
|
Style Transfer (Q)
|
98% |
421383
543.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
205
7.58 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44130
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103509
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
253
338.3 IPS |
|
|
Text Classification (HP)
|
100% |
3065
4.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6710
9.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
423
7.29 IPS |
|
|
Machine Translation (HP)
|
100% |
3360
57.9 IPS |
|
|
Machine Translation (Q)
|
55% |
2460
64.4 IPS |
