Samsung Galaxy Z Fold6
Geekbench AI Score
312
Single Precision Score
21293
Half Precision Score
47988
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | ioscarhunter |
| Upload Date | September 18 2025 11:06 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
293
54.4 IPS |
|
|
Image Classification (HP)
|
100% |
18138
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
40746
7.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
348
5.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
10794
175.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
31256
508.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
441
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
98826
115.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
393054
460.0 IPS |
|
|
Object Detection (SP)
|
100% |
147
11.7 IPS |
|
|
Object Detection (HP)
|
100% |
14761
1.17 KIPS |
|
|
Object Detection (Q)
|
86% |
18810
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
399
4.74 IPS |
|
|
Face Detection (HP)
|
100% |
30185
358.7 IPS |
|
|
Face Detection (Q)
|
97% |
95738
1.14 KIPS |
|
|
Depth Estimation (SP)
|
100% |
359
2.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
59069
455.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
103633
970.4 IPS |
|
|
Style Transfer (SP)
|
100% |
571
0.73 IPS |
|
|
Style Transfer (HP)
|
98% |
84851
109.4 IPS |
|
|
Style Transfer (Q)
|
98% |
419222
540.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
189
6.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43976
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103305
3.83 KIPS |
|
|
Text Classification (SP)
|
100% |
219
292.2 IPS |
|
|
Text Classification (HP)
|
100% |
3044
4.06 KIPS |
|
|
Text Classification (Q)
|
93% |
6645
8.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
393
6.77 IPS |
|
|
Machine Translation (HP)
|
100% |
3313
57.1 IPS |
|
|
Machine Translation (Q)
|
55% |
2409
63.1 IPS |
