iPad mini (6th generation)
Geekbench ML Score
820
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 24 2024 10:18 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPad mini (6th generation) |
| Model ID | iPad14,1 |
| Motherboard | J310AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.92 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.78 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
732
78.4 IPS |
|
|
Image Classification (F16)
|
100% |
668
71.5 IPS |
|
|
Image Classification (I8)
|
81% |
242
26.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1065
6.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
1029
6.36 IPS |
|
|
Image Segmentation (I8)
|
89% |
1282
7.92 IPS |
|
|
Pose Estimation (F32)
|
100% |
336
1.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
323
1.31 IPS |
|
|
Pose Estimation (I8)
|
80% |
415
1.68 IPS |
|
|
Object Detection (F32)
|
100% |
989
34.7 IPS |
|
|
Object Detection (F16)
|
100% |
990
34.8 IPS |
|
|
Object Detection (I8)
|
52% |
657
23.1 IPS |
|
|
Face Detection (F32)
|
100% |
1230
14.1 IPS |
|
|
Face Detection (F16)
|
100% |
1186
13.6 IPS |
|
|
Face Detection (I8)
|
75% |
792
9.10 IPS |
|
|
Text Classification (F32)
|
100% |
1049
414.8 IPS |
|
|
Text Classification (F16)
|
100% |
1045
413.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1949
300.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1953
300.9 IPS |
