iPad mini (6th generation)
Geekbench ML Score
4477
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 06:21 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
528
98.8 IPS |
|
|
Image Classification (F16)
|
100% |
4984
932.7 IPS |
|
|
Image Classification (I8)
|
99% |
5093
953.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1056
17.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1663
27.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1646
27.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
10268
12.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
68049
82.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
68298
82.7 IPS |
|
|
Object Detection (F32)
|
100% |
724
54.0 IPS |
|
|
Object Detection (F16)
|
100% |
3583
267.5 IPS |
|
|
Object Detection (I8)
|
97% |
848
63.3 IPS |
|
|
Face Detection (F32)
|
100% |
3277
39.0 IPS |
|
|
Face Detection (F16)
|
97% |
9394
111.7 IPS |
|
|
Face Detection (I8)
|
96% |
9359
111.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
7036
54.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
32516
252.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
37878
293.7 IPS |
|
|
Style Transfer (F32)
|
100% |
18419
24.2 IPS |
|
|
Style Transfer (F16)
|
100% |
93947
123.6 IPS |
|
|
Style Transfer (I8)
|
100% |
95103
125.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2724
97.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14288
510.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
13956
498.4 IPS |
|
|
Text Classification (F32)
|
100% |
411
591.4 IPS |
|
|
Text Classification (F16)
|
100% |
1008
1.45 KIPS |
|
|
Text Classification (I8)
|
96% |
406
584.1 IPS |
|
|
Machine Translation (F32)
|
100% |
450
8.27 IPS |
|
|
Machine Translation (F16)
|
100% |
1198
22.0 IPS |
|
|
Machine Translation (I8)
|
99% |
414
7.61 IPS |
