iPad mini (6th generation)
Geekbench ML Score
3149
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 19 2024 02:45 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad mini (6th generation) |
| Model ID | iPad14,2 |
| Motherboard | J311AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.92 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| 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 | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1295
242.4 IPS |
|
|
Image Classification (F16)
|
100% |
1666
311.8 IPS |
|
|
Image Classification (I8)
|
99% |
1668
312.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
720
12.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
724
12.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
706
11.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5487
6.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
12485
15.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
12591
15.2 IPS |
|
|
Object Detection (F32)
|
100% |
1267
94.6 IPS |
|
|
Object Detection (F16)
|
100% |
1754
130.9 IPS |
|
|
Object Detection (I8)
|
97% |
1290
96.3 IPS |
|
|
Face Detection (F32)
|
100% |
2279
27.1 IPS |
|
|
Face Detection (F16)
|
97% |
3725
44.3 IPS |
|
|
Face Detection (I8)
|
97% |
3730
44.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4791
37.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
7687
59.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
7731
60.0 IPS |
|
|
Style Transfer (F32)
|
100% |
15470
20.3 IPS |
|
|
Style Transfer (F16)
|
100% |
23708
31.2 IPS |
|
|
Style Transfer (I8)
|
100% |
23917
31.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3602
128.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4592
164.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4619
165.0 IPS |
|
|
Text Classification (F32)
|
100% |
2205
3.17 KIPS |
|
|
Text Classification (F16)
|
100% |
3398
4.88 KIPS |
|
|
Text Classification (I8)
|
96% |
3607
5.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
1093
20.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1372
25.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1106
20.4 IPS |
