Samsung Galaxy Z Fold6
Geekbench AI Score
1990
Single Precision Score
1978
Half Precision Score
2853
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | riussi |
| Upload Date | January 28 2025 04:57 PM |
| Views | 3 |
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% |
1699
316.0 IPS |
|
|
Image Classification (HP)
|
100% |
1740
323.6 IPS |
|
|
Image Classification (Q)
|
100% |
2577
479.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2276
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2294
37.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3468
56.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4123
4.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
3850
4.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
6727
7.98 IPS |
|
|
Object Detection (SP)
|
98% |
1335
106.3 IPS |
|
|
Object Detection (HP)
|
98% |
1342
106.8 IPS |
|
|
Object Detection (Q)
|
83% |
1844
148.9 IPS |
|
|
Face Detection (SP)
|
100% |
2648
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
2757
32.8 IPS |
|
|
Face Detection (Q)
|
95% |
4110
49.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2631
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2803
21.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4958
45.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7145
9.28 IPS |
|
|
Style Transfer (HP)
|
89% |
6503
8.44 IPS |
|
|
Style Transfer (Q)
|
98% |
11878
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1381
51.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1346
49.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2928
108.5 IPS |
|
|
Text Classification (SP)
|
100% |
517
689.4 IPS |
|
|
Text Classification (HP)
|
99% |
529
706.5 IPS |
|
|
Text Classification (Q)
|
88% |
757
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1288
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (Q)
|
50% |
601
21.4 IPS |
