Samsung Galaxy Z Fold6
Geekbench AI Score
2011
Single Precision Score
2032
Half Precision Score
2845
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | July 02 2025 10:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1370
254.7 IPS |
|
|
Image Classification (HP)
|
100% |
1648
306.5 IPS |
|
|
Image Classification (Q)
|
100% |
2481
461.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1873
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1876
30.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2899
47.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3377
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
3043
3.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
7041
8.35 IPS |
|
|
Object Detection (SP)
|
98% |
1502
119.6 IPS |
|
|
Object Detection (HP)
|
98% |
1521
121.0 IPS |
|
|
Object Detection (Q)
|
83% |
2196
177.4 IPS |
|
|
Face Detection (SP)
|
100% |
2843
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
3007
35.7 IPS |
|
|
Face Detection (Q)
|
95% |
4755
56.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3081
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3075
23.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2287
20.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7348
9.54 IPS |
|
|
Style Transfer (HP)
|
89% |
7463
9.69 IPS |
|
|
Style Transfer (Q)
|
98% |
14202
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1446
53.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1458
53.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3523
130.6 IPS |
|
|
Text Classification (SP)
|
100% |
649
866.3 IPS |
|
|
Text Classification (HP)
|
99% |
603
804.6 IPS |
|
|
Text Classification (Q)
|
88% |
899
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1376
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1389
23.9 IPS |
|
|
Machine Translation (Q)
|
50% |
639
22.7 IPS |
