Samsung Galaxy Z Fold6
Geekbench AI Score
369
Single Precision Score
356
Half Precision Score
791
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 03:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
299
55.6 IPS |
|
|
Image Classification (HP)
|
100% |
296
55.1 IPS |
|
|
Image Classification (Q)
|
99% |
796
148.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
379
6.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
380
6.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
781
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
510
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
351
0.41 IPS |
|
|
Pose Estimation (Q)
|
98% |
1313
1.54 IPS |
|
|
Object Detection (SP)
|
100% |
191
15.2 IPS |
|
|
Object Detection (HP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (Q)
|
87% |
530
42.5 IPS |
|
|
Face Detection (SP)
|
100% |
486
5.78 IPS |
|
|
Face Detection (HP)
|
100% |
493
5.85 IPS |
|
|
Face Detection (Q)
|
97% |
1091
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
431
3.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
432
3.33 IPS |
|
|
Depth Estimation (Q)
|
64% |
962
8.73 IPS |
|
|
Style Transfer (SP)
|
100% |
704
0.90 IPS |
|
|
Style Transfer (HP)
|
100% |
708
0.91 IPS |
|
|
Style Transfer (Q)
|
98% |
1673
2.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
229
8.47 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
228
8.43 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
754
27.9 IPS |
|
|
Text Classification (SP)
|
100% |
275
367.1 IPS |
|
|
Text Classification (HP)
|
100% |
276
367.9 IPS |
|
|
Text Classification (Q)
|
91% |
455
611.8 IPS |
|
|
Machine Translation (SP)
|
100% |
466
8.02 IPS |
|
|
Machine Translation (HP)
|
100% |
468
8.05 IPS |
|
|
Machine Translation (Q)
|
57% |
370
9.05 IPS |
