Samsung Galaxy Z Fold6
Geekbench AI Score
2299
Single Precision Score
2320
Half Precision Score
3297
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2025 11:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1583
294.3 IPS |
|
|
Image Classification (HP)
|
100% |
1931
359.1 IPS |
|
|
Image Classification (Q)
|
100% |
2310
429.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2210
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2236
36.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2865
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4072
4.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
3769
4.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
8570
10.2 IPS |
|
|
Object Detection (SP)
|
98% |
1671
133.0 IPS |
|
|
Object Detection (HP)
|
98% |
1706
135.7 IPS |
|
|
Object Detection (Q)
|
83% |
2175
175.7 IPS |
|
|
Face Detection (SP)
|
100% |
3339
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
3344
39.7 IPS |
|
|
Face Detection (Q)
|
95% |
5274
63.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3448
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3237
25.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5484
50.2 IPS |
|
|
Style Transfer (SP)
|
89% |
8183
10.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8240
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
15764
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1636
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1685
62.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4000
148.2 IPS |
|
|
Text Classification (SP)
|
100% |
733
978.0 IPS |
|
|
Text Classification (HP)
|
99% |
726
969.1 IPS |
|
|
Text Classification (Q)
|
88% |
1027
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1537
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1495
25.8 IPS |
|
|
Machine Translation (Q)
|
50% |
658
23.3 IPS |
