Samsung Galaxy Z Fold7
Geekbench AI Score
513
Single Precision Score
497
Half Precision Score
1056
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | March 29 2026 12:18 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy Z Fold7 |
| Model ID | samsung SM-F966B |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
420
78.2 IPS |
|
|
Image Classification (HP)
|
100% |
428
79.6 IPS |
|
|
Image Classification (Q)
|
99% |
995
185.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
489
7.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
433
7.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
821
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
607
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
512
0.60 IPS |
|
|
Pose Estimation (Q)
|
98% |
1989
2.33 IPS |
|
|
Object Detection (SP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (HP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (Q)
|
87% |
753
60.4 IPS |
|
|
Face Detection (SP)
|
100% |
734
8.73 IPS |
|
|
Face Detection (HP)
|
100% |
728
8.65 IPS |
|
|
Face Detection (Q)
|
97% |
1564
18.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
607
4.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
560
4.31 IPS |
|
|
Depth Estimation (Q)
|
64% |
1210
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
926
1.19 IPS |
|
|
Style Transfer (HP)
|
100% |
958
1.23 IPS |
|
|
Style Transfer (Q)
|
98% |
2525
3.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
305
11.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
306
11.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1110
41.1 IPS |
|
|
Text Classification (SP)
|
100% |
400
533.6 IPS |
|
|
Text Classification (HP)
|
100% |
434
579.6 IPS |
|
|
Text Classification (Q)
|
91% |
670
900.6 IPS |
|
|
Machine Translation (SP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (Q)
|
57% |
400
9.78 IPS |
