Samsung Galaxy Z Fold6
Geekbench AI Score
2111
Single Precision Score
3284
Half Precision Score
2599
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 10:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1346
250.3 IPS |
|
|
Image Classification (HP)
|
100% |
2026
376.9 IPS |
|
|
Image Classification (Q)
|
100% |
1811
336.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2435
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4149
67.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3825
62.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11050
12.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
19950
23.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
19608
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
1183
93.8 IPS |
|
|
Object Detection (HP)
|
99% |
1756
139.3 IPS |
|
|
Object Detection (Q)
|
87% |
1682
135.0 IPS |
|
|
Face Detection (SP)
|
100% |
4135
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
7366
87.5 IPS |
|
|
Face Detection (Q)
|
97% |
5774
68.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5764
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
8401
64.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
6336
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14239
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28986
37.3 IPS |
|
|
Style Transfer (Q)
|
98% |
29205
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2915
107.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4597
169.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4173
154.7 IPS |
|
|
Text Classification (SP)
|
35% |
50
484.0 IPS |
|
|
Text Classification (HP)
|
35% |
70
639.4 IPS |
|
|
Text Classification (Q)
|
33% |
54
651.0 IPS |
|
|
Machine Translation (SP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (HP)
|
97% |
860
14.9 IPS |
|
|
Machine Translation (Q)
|
43% |
256
14.5 IPS |
