iPad mini (5th generation)
Geekbench ML Score
714
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 22 2024 11:20 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad mini (5th generation) |
| Model ID | iPad11,2 |
| Motherboard | J211AP |
| 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% |
316
59.1 IPS |
|
|
Image Classification (F16)
|
100% |
546
102.3 IPS |
|
|
Image Classification (I8)
|
99% |
542
101.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
229
3.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
291
4.86 IPS |
|
|
Image Segmentation (I8)
|
100% |
286
4.78 IPS |
|
|
Pose Estimation (F32)
|
100% |
1110
1.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
806
0.98 IPS |
|
|
Pose Estimation (I8)
|
100% |
822
1.00 IPS |
|
|
Object Detection (F32)
|
100% |
347
25.9 IPS |
|
|
Object Detection (F16)
|
100% |
610
45.5 IPS |
|
|
Object Detection (I8)
|
97% |
344
25.6 IPS |
|
|
Face Detection (F32)
|
100% |
720
8.56 IPS |
|
|
Face Detection (F16)
|
97% |
1417
16.8 IPS |
|
|
Face Detection (I8)
|
96% |
1458
17.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
887
6.88 IPS |
|
|
Depth Estimation (F16)
|
100% |
1594
12.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
1626
12.6 IPS |
|
|
Style Transfer (F32)
|
100% |
2349
3.09 IPS |
|
|
Style Transfer (F16)
|
100% |
4068
5.35 IPS |
|
|
Style Transfer (I8)
|
100% |
3633
4.78 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
748
26.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
913
32.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
915
32.7 IPS |
|
|
Text Classification (F32)
|
100% |
271
388.9 IPS |
|
|
Text Classification (F16)
|
100% |
521
749.1 IPS |
|
|
Text Classification (I8)
|
96% |
528
758.9 IPS |
|
|
Machine Translation (F32)
|
100% |
388
7.15 IPS |
|
|
Machine Translation (F16)
|
100% |
544
10.0 IPS |
|
|
Machine Translation (I8)
|
99% |
371
6.83 IPS |
