iPad mini (6th generation)
Geekbench ML Score
3176
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 22 2024 04:11 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
1338
250.3 IPS |
|
|
Image Classification (F16)
|
100% |
1658
310.2 IPS |
|
|
Image Classification (I8)
|
99% |
1653
309.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
758
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
744
12.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
747
12.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5562
6.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
12763
15.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
12780
15.5 IPS |
|
|
Object Detection (F32)
|
100% |
1296
96.8 IPS |
|
|
Object Detection (F16)
|
100% |
1752
130.8 IPS |
|
|
Object Detection (I8)
|
97% |
1303
97.3 IPS |
|
|
Face Detection (F32)
|
100% |
2321
27.6 IPS |
|
|
Face Detection (F16)
|
97% |
3742
44.5 IPS |
|
|
Face Detection (I8)
|
97% |
3738
44.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4779
37.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
7752
60.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
7737
60.0 IPS |
|
|
Style Transfer (F32)
|
100% |
15371
20.2 IPS |
|
|
Style Transfer (F16)
|
100% |
23711
31.2 IPS |
|
|
Style Transfer (I8)
|
100% |
23919
31.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3545
126.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4717
168.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4546
162.3 IPS |
|
|
Text Classification (F32)
|
100% |
2168
3.12 KIPS |
|
|
Text Classification (F16)
|
100% |
3512
5.05 KIPS |
|
|
Text Classification (I8)
|
96% |
3531
5.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
1104
20.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1378
25.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1092
20.1 IPS |
