iPhone 12 Mini
Geekbench ML Score
1313
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 22 2023 12:48 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| Model | iPhone 12 Mini |
| Model ID | iPhone13,1 |
| Motherboard | D52gAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 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 | 3.59 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
642
120.1 IPS |
|
|
Image Classification (F16)
|
100% |
610
114.2 IPS |
|
|
Image Classification (I8)
|
99% |
671
125.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
324
5.42 IPS |
|
|
Image Segmentation (F16)
|
100% |
308
5.15 IPS |
|
|
Image Segmentation (I8)
|
100% |
300
5.00 IPS |
|
|
Pose Estimation (F32)
|
100% |
2816
3.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
7440
9.01 IPS |
|
|
Pose Estimation (I8)
|
100% |
7434
9.00 IPS |
|
|
Object Detection (F32)
|
100% |
764
57.0 IPS |
|
|
Object Detection (F16)
|
100% |
789
58.9 IPS |
|
|
Object Detection (I8)
|
97% |
751
56.1 IPS |
|
|
Face Detection (F32)
|
100% |
1303
15.5 IPS |
|
|
Face Detection (F16)
|
100% |
1120
13.3 IPS |
|
|
Face Detection (I8)
|
99% |
1148
13.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2651
20.6 IPS |
|
|
Depth Estimation (F16)
|
99% |
2992
23.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
3031
23.5 IPS |
|
|
Style Transfer (F32)
|
100% |
7951
10.5 IPS |
|
|
Style Transfer (F16)
|
100% |
8823
11.6 IPS |
|
|
Style Transfer (I8)
|
100% |
9289
12.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1715
61.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2225
79.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2274
81.2 IPS |
|
|
Text Classification (F32)
|
100% |
799
1.15 KIPS |
|
|
Text Classification (F16)
|
100% |
488
701.5 IPS |
|
|
Text Classification (I8)
|
96% |
510
732.9 IPS |
|
|
Machine Translation (F32)
|
100% |
557
10.3 IPS |
|
|
Machine Translation (F16)
|
99% |
537
9.89 IPS |
|
|
Machine Translation (I8)
|
99% |
479
8.81 IPS |
