iPhone 12
Geekbench ML Score
2533
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 01 2024 07:44 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPhone 12 |
| Model ID | iPhone13,2 |
| Motherboard | D53gAP |
| 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 | 3.56 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1146
214.4 IPS |
|
|
Image Classification (F16)
|
100% |
1459
273.0 IPS |
|
|
Image Classification (I8)
|
99% |
1459
273.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
501
8.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
496
8.29 IPS |
|
|
Image Segmentation (I8)
|
100% |
495
8.27 IPS |
|
|
Pose Estimation (F32)
|
100% |
4365
5.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
9996
12.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
10102
12.2 IPS |
|
|
Object Detection (F32)
|
100% |
1130
84.4 IPS |
|
|
Object Detection (F16)
|
100% |
1544
115.3 IPS |
|
|
Object Detection (I8)
|
97% |
1126
84.0 IPS |
|
|
Face Detection (F32)
|
100% |
1813
21.6 IPS |
|
|
Face Detection (F16)
|
97% |
3335
39.6 IPS |
|
|
Face Detection (I8)
|
97% |
3257
38.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
4260
33.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
6735
52.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
6775
52.5 IPS |
|
|
Style Transfer (F32)
|
100% |
12335
16.2 IPS |
|
|
Style Transfer (F16)
|
100% |
20209
26.6 IPS |
|
|
Style Transfer (I8)
|
100% |
20399
26.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2878
102.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4212
150.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4145
148.0 IPS |
|
|
Text Classification (F32)
|
100% |
1901
2.73 KIPS |
|
|
Text Classification (F16)
|
100% |
3074
4.42 KIPS |
|
|
Text Classification (I8)
|
96% |
3074
4.42 KIPS |
|
|
Machine Translation (F32)
|
100% |
630
11.6 IPS |
|
|
Machine Translation (F16)
|
100% |
730
13.4 IPS |
|
|
Machine Translation (I8)
|
99% |
613
11.3 IPS |
