iPhone 12 Mini
Geekbench ML Score
2593
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 01 2024 08:31 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 | 3.57 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1151
215.3 IPS |
|
|
Image Classification (F16)
|
100% |
1459
273.0 IPS |
|
|
Image Classification (I8)
|
99% |
1461
273.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
491
8.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
493
8.23 IPS |
|
|
Image Segmentation (I8)
|
100% |
491
8.20 IPS |
|
|
Pose Estimation (F32)
|
100% |
4801
5.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
10556
12.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
10614
12.9 IPS |
|
|
Object Detection (F32)
|
100% |
1118
83.4 IPS |
|
|
Object Detection (F16)
|
100% |
1525
113.8 IPS |
|
|
Object Detection (I8)
|
97% |
1121
83.7 IPS |
|
|
Face Detection (F32)
|
100% |
1944
23.1 IPS |
|
|
Face Detection (F16)
|
97% |
3419
40.7 IPS |
|
|
Face Detection (I8)
|
97% |
3428
40.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
4456
34.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
7096
55.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
7106
55.1 IPS |
|
|
Style Transfer (F32)
|
100% |
13075
17.2 IPS |
|
|
Style Transfer (F16)
|
100% |
21219
27.9 IPS |
|
|
Style Transfer (I8)
|
100% |
21462
28.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2994
106.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4077
145.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4068
145.3 IPS |
|
|
Text Classification (F32)
|
100% |
1933
2.78 KIPS |
|
|
Text Classification (F16)
|
100% |
3064
4.40 KIPS |
|
|
Text Classification (I8)
|
96% |
3051
4.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
640
11.8 IPS |
|
|
Machine Translation (F16)
|
100% |
772
14.2 IPS |
|
|
Machine Translation (I8)
|
99% |
641
11.8 IPS |
