iPad mini (5th generation)
Geekbench ML Score
718
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 02:17 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPad mini (5th generation) |
| Model ID | iPad11,1 |
| Motherboard | J210AP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.85 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
334
62.5 IPS |
|
|
Image Classification (F16)
|
100% |
541
101.3 IPS |
|
|
Image Classification (I8)
|
99% |
540
101.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
240
4.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
282
4.72 IPS |
|
|
Image Segmentation (I8)
|
100% |
280
4.67 IPS |
|
|
Pose Estimation (F32)
|
100% |
837
1.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
949
1.15 IPS |
|
|
Pose Estimation (I8)
|
100% |
971
1.18 IPS |
|
|
Object Detection (F32)
|
100% |
370
27.6 IPS |
|
|
Object Detection (F16)
|
100% |
626
46.7 IPS |
|
|
Object Detection (I8)
|
97% |
371
27.7 IPS |
|
|
Face Detection (F32)
|
100% |
768
9.13 IPS |
|
|
Face Detection (F16)
|
97% |
1362
16.2 IPS |
|
|
Face Detection (I8)
|
96% |
1451
17.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
850
6.59 IPS |
|
|
Depth Estimation (F16)
|
100% |
1660
12.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
1656
12.8 IPS |
|
|
Style Transfer (F32)
|
100% |
2264
2.98 IPS |
|
|
Style Transfer (F16)
|
100% |
4094
5.38 IPS |
|
|
Style Transfer (I8)
|
100% |
4348
5.72 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
717
25.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
964
34.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
936
33.4 IPS |
|
|
Text Classification (F32)
|
100% |
264
379.4 IPS |
|
|
Text Classification (F16)
|
100% |
514
738.6 IPS |
|
|
Text Classification (I8)
|
96% |
514
739.4 IPS |
|
|
Machine Translation (F32)
|
100% |
363
6.69 IPS |
|
|
Machine Translation (F16)
|
100% |
489
8.99 IPS |
|
|
Machine Translation (I8)
|
99% |
353
6.50 IPS |
