iPad mini (6th generation)
Geekbench ML Score
903
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 03 2021 10:16 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% |
764
81.8 IPS |
|
|
Image Classification (F16)
|
100% |
726
77.8 IPS |
|
|
Image Classification (I8)
|
81% |
466
49.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1046
6.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
1013
6.26 IPS |
|
|
Image Segmentation (I8)
|
89% |
1453
8.98 IPS |
|
|
Pose Estimation (F32)
|
100% |
401
1.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
395
1.60 IPS |
|
|
Pose Estimation (I8)
|
80% |
462
1.87 IPS |
|
|
Object Detection (F32)
|
100% |
1014
35.6 IPS |
|
|
Object Detection (F16)
|
100% |
1020
35.8 IPS |
|
|
Object Detection (I8)
|
52% |
771
27.1 IPS |
|
|
Face Detection (F32)
|
100% |
1276
14.7 IPS |
|
|
Face Detection (F16)
|
100% |
1244
14.3 IPS |
|
|
Face Detection (I8)
|
75% |
845
9.71 IPS |
|
|
Text Classification (F32)
|
100% |
1181
467.0 IPS |
|
|
Text Classification (F16)
|
100% |
1083
428.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1871
288.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1934
298.0 IPS |
