Samsung Galaxy Z Fold6
Geekbench AI Score
2209
Single Precision Score
2209
Half Precision Score
3244
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | F0xMaster |
| Upload Date | December 18 2024 07:53 PM |
| Views | 15 |
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-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% |
1916
356.3 IPS |
|
|
Image Classification (HP)
|
100% |
2374
441.4 IPS |
|
|
Image Classification (Q)
|
100% |
3153
586.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2591
42.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2513
40.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4033
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4058
4.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3295
3.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
7028
8.34 IPS |
|
|
Object Detection (SP)
|
98% |
1533
122.0 IPS |
|
|
Object Detection (HP)
|
98% |
1526
121.4 IPS |
|
|
Object Detection (Q)
|
83% |
1992
160.9 IPS |
|
|
Face Detection (SP)
|
100% |
3085
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (Q)
|
95% |
4796
57.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2863
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2903
22.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4967
45.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7516
9.76 IPS |
|
|
Style Transfer (HP)
|
89% |
7524
9.77 IPS |
|
|
Style Transfer (Q)
|
98% |
13986
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1473
54.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1528
56.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3528
130.7 IPS |
|
|
Text Classification (SP)
|
100% |
655
874.2 IPS |
|
|
Text Classification (HP)
|
99% |
651
868.4 IPS |
|
|
Text Classification (Q)
|
88% |
992
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1403
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1400
24.1 IPS |
|
|
Machine Translation (Q)
|
50% |
622
22.1 IPS |
