iPhone 13 mini
Geekbench ML Score
1752
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 27 2024 08:51 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3.1 |
| Model | iPhone 13 mini |
| Model ID | iPhone14,4 |
| Motherboard | D16AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 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 | 3.57 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
901
168.6 IPS |
|
|
Image Classification (F16)
|
100% |
894
167.2 IPS |
|
|
Image Classification (I8)
|
99% |
925
173.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
486
8.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
437
7.29 IPS |
|
|
Image Segmentation (I8)
|
100% |
438
7.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
5119
6.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
10100
12.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
10010
12.1 IPS |
|
|
Object Detection (F32)
|
100% |
982
73.3 IPS |
|
|
Object Detection (F16)
|
100% |
1003
74.9 IPS |
|
|
Object Detection (I8)
|
97% |
974
72.7 IPS |
|
|
Face Detection (F32)
|
100% |
1606
19.1 IPS |
|
|
Face Detection (F16)
|
100% |
1480
17.6 IPS |
|
|
Face Detection (I8)
|
99% |
1482
17.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3269
25.4 IPS |
|
|
Depth Estimation (F16)
|
99% |
3667
28.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
3579
27.8 IPS |
|
|
Style Transfer (F32)
|
100% |
10036
13.2 IPS |
|
|
Style Transfer (F16)
|
100% |
11716
15.4 IPS |
|
|
Style Transfer (I8)
|
100% |
11852
15.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2984
106.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2559
91.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2605
93.0 IPS |
|
|
Text Classification (F32)
|
100% |
960
1.38 KIPS |
|
|
Text Classification (F16)
|
100% |
583
838.5 IPS |
|
|
Text Classification (I8)
|
96% |
576
827.1 IPS |
|
|
Machine Translation (F32)
|
100% |
743
13.7 IPS |
|
|
Machine Translation (F16)
|
99% |
846
15.6 IPS |
|
|
Machine Translation (I8)
|
99% |
693
12.7 IPS |
