Samsung Galaxy Z Fold6
Geekbench AI Score
2438
Single Precision Score
2425
Half Precision Score
3543
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 30 2025 09:36 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2262
420.7 IPS |
|
|
Image Classification (HP)
|
100% |
2455
456.5 IPS |
|
|
Image Classification (Q)
|
100% |
3305
614.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2473
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2623
42.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4253
69.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4170
4.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3456
4.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
7929
9.40 IPS |
|
|
Object Detection (SP)
|
98% |
1703
135.6 IPS |
|
|
Object Detection (HP)
|
98% |
1728
137.5 IPS |
|
|
Object Detection (Q)
|
83% |
2441
197.2 IPS |
|
|
Face Detection (SP)
|
100% |
3404
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
3393
40.3 IPS |
|
|
Face Detection (Q)
|
95% |
5355
63.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3352
25.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3348
25.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5472
50.1 IPS |
|
|
Style Transfer (SP)
|
89% |
8433
10.9 IPS |
|
|
Style Transfer (HP)
|
89% |
8403
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15560
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1747
64.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1750
64.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3984
147.6 IPS |
|
|
Text Classification (SP)
|
100% |
729
972.7 IPS |
|
|
Text Classification (HP)
|
99% |
727
971.0 IPS |
|
|
Text Classification (Q)
|
88% |
1020
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1529
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1509
26.0 IPS |
|
|
Machine Translation (Q)
|
50% |
620
22.0 IPS |
