Samsung Galaxy Z Fold6
Geekbench AI Score
2750
Single Precision Score
2792
Half Precision Score
4296
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2025 09:11 PM |
| Views | 3 |
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% |
1689
314.1 IPS |
|
|
Image Classification (HP)
|
100% |
2408
447.9 IPS |
|
|
Image Classification (Q)
|
100% |
3062
569.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2671
43.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2706
43.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4374
71.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4282
5.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
4131
4.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
9489
11.3 IPS |
|
|
Object Detection (SP)
|
98% |
2157
171.6 IPS |
|
|
Object Detection (HP)
|
98% |
2178
173.3 IPS |
|
|
Object Detection (Q)
|
83% |
3106
250.9 IPS |
|
|
Face Detection (SP)
|
100% |
4302
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
4152
49.3 IPS |
|
|
Face Detection (Q)
|
95% |
7677
91.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4326
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4274
33.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
7060
64.7 IPS |
|
|
Style Transfer (SP)
|
89% |
10070
13.1 IPS |
|
|
Style Transfer (HP)
|
89% |
9942
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18966
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2142
79.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2157
79.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5106
189.2 IPS |
|
|
Text Classification (SP)
|
100% |
859
1.15 KIPS |
|
|
Text Classification (HP)
|
99% |
901
1.20 KIPS |
|
|
Text Classification (Q)
|
88% |
1382
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1722
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1435
24.7 IPS |
|
|
Machine Translation (Q)
|
50% |
749
26.6 IPS |
