iPad mini (6th generation)
Geekbench ML Score
3145
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 06:15 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1324
247.8 IPS |
|
|
Image Classification (F16)
|
100% |
1664
311.3 IPS |
|
|
Image Classification (I8)
|
99% |
1666
311.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
764
12.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
745
12.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
762
12.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5157
6.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
12270
14.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
12460
15.1 IPS |
|
|
Object Detection (F32)
|
100% |
1286
96.0 IPS |
|
|
Object Detection (F16)
|
100% |
1729
129.1 IPS |
|
|
Object Detection (I8)
|
97% |
1241
92.7 IPS |
|
|
Face Detection (F32)
|
100% |
2337
27.8 IPS |
|
|
Face Detection (F16)
|
97% |
3705
44.1 IPS |
|
|
Face Detection (I8)
|
97% |
3759
44.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
4827
37.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
7776
60.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
7762
60.2 IPS |
|
|
Style Transfer (F32)
|
100% |
15583
20.5 IPS |
|
|
Style Transfer (F16)
|
100% |
23978
31.5 IPS |
|
|
Style Transfer (I8)
|
100% |
24013
31.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3623
129.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4824
172.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4842
172.9 IPS |
|
|
Text Classification (F32)
|
100% |
2168
3.12 KIPS |
|
|
Text Classification (F16)
|
100% |
3567
5.13 KIPS |
|
|
Text Classification (I8)
|
96% |
3513
5.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
923
17.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1267
23.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1078
19.8 IPS |
