iPad mini (6th generation)
Geekbench ML Score
908
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 06 2021 05:01 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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% |
760
81.5 IPS |
|
|
Image Classification (F16)
|
100% |
724
77.5 IPS |
|
|
Image Classification (I8)
|
81% |
414
44.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1055
6.51 IPS |
|
|
Image Segmentation (F16)
|
100% |
1001
6.18 IPS |
|
|
Image Segmentation (I8)
|
89% |
1375
8.50 IPS |
|
|
Pose Estimation (F32)
|
100% |
390
1.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
385
1.56 IPS |
|
|
Pose Estimation (I8)
|
80% |
463
1.87 IPS |
|
|
Object Detection (F32)
|
100% |
1028
36.1 IPS |
|
|
Object Detection (F16)
|
100% |
1033
36.3 IPS |
|
|
Object Detection (I8)
|
52% |
676
23.7 IPS |
|
|
Face Detection (F32)
|
100% |
1309
15.0 IPS |
|
|
Face Detection (F16)
|
100% |
1253
14.4 IPS |
|
|
Face Detection (I8)
|
75% |
825
9.48 IPS |
|
|
Text Classification (F32)
|
100% |
1462
578.2 IPS |
|
|
Text Classification (F16)
|
100% |
1423
562.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1866
287.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1866
287.6 IPS |
