Samsung Galaxy Z Fold6
Geekbench AI Score
2099
Single Precision Score
2190
Half Precision Score
3205
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 02:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Fold6 |
| Model ID | samsung SM-F956U |
| 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% |
2036
378.7 IPS |
|
|
Image Classification (HP)
|
100% |
2461
457.7 IPS |
|
|
Image Classification (Q)
|
100% |
3255
605.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2384
38.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4172
67.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3740
4.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
3701
4.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
7021
8.33 IPS |
|
|
Object Detection (SP)
|
98% |
1345
107.1 IPS |
|
|
Object Detection (HP)
|
98% |
1488
118.4 IPS |
|
|
Object Detection (Q)
|
83% |
1944
157.0 IPS |
|
|
Face Detection (SP)
|
100% |
2755
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
2935
34.9 IPS |
|
|
Face Detection (Q)
|
95% |
4654
55.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2962
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3070
23.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4885
44.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7391
9.59 IPS |
|
|
Style Transfer (HP)
|
89% |
7478
9.71 IPS |
|
|
Style Transfer (Q)
|
98% |
13996
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1408
52.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1482
54.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3568
132.2 IPS |
|
|
Text Classification (SP)
|
100% |
635
847.9 IPS |
|
|
Text Classification (HP)
|
99% |
602
803.3 IPS |
|
|
Text Classification (Q)
|
88% |
895
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1312
22.6 IPS |
|
|
Machine Translation (Q)
|
50% |
609
21.6 IPS |
