iPad mini (6th generation)
Geekbench ML Score
3122
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 10:34 AM |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1323
247.6 IPS |
|
|
Image Classification (F16)
|
100% |
1648
308.5 IPS |
|
|
Image Classification (I8)
|
99% |
1646
308.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
753
12.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
746
12.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
738
12.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5172
6.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
12731
15.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
12756
15.4 IPS |
|
|
Object Detection (F32)
|
100% |
1304
97.4 IPS |
|
|
Object Detection (F16)
|
100% |
1770
132.2 IPS |
|
|
Object Detection (I8)
|
97% |
1299
97.0 IPS |
|
|
Face Detection (F32)
|
100% |
2270
27.0 IPS |
|
|
Face Detection (F16)
|
97% |
3644
43.3 IPS |
|
|
Face Detection (I8)
|
97% |
3623
43.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4687
36.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
7694
59.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
7698
59.7 IPS |
|
|
Style Transfer (F32)
|
100% |
15400
20.3 IPS |
|
|
Style Transfer (F16)
|
100% |
23646
31.1 IPS |
|
|
Style Transfer (I8)
|
100% |
23746
31.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3554
126.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4584
163.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4578
163.5 IPS |
|
|
Text Classification (F32)
|
100% |
2173
3.12 KIPS |
|
|
Text Classification (F16)
|
100% |
3444
4.95 KIPS |
|
|
Text Classification (I8)
|
96% |
3453
4.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
1051
19.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1253
23.1 IPS |
|
|
Machine Translation (I8)
|
99% |
998
18.4 IPS |
