iPhone 12
Geekbench ML Score
2624
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 27 2024 07:05 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
1150
215.2 IPS |
|
|
Image Classification (F16)
|
100% |
1461
273.4 IPS |
|
|
Image Classification (I8)
|
99% |
1461
273.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
498
8.31 IPS |
|
|
Image Segmentation (F16)
|
100% |
499
8.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
496
8.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
5116
6.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
11251
13.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
11275
13.7 IPS |
|
|
Object Detection (F32)
|
100% |
1105
82.5 IPS |
|
|
Object Detection (F16)
|
100% |
1482
110.7 IPS |
|
|
Object Detection (I8)
|
97% |
1106
82.6 IPS |
|
|
Face Detection (F32)
|
100% |
1947
23.1 IPS |
|
|
Face Detection (F16)
|
97% |
3495
41.6 IPS |
|
|
Face Detection (I8)
|
97% |
3491
41.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
4529
35.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
7176
55.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
7139
55.4 IPS |
|
|
Style Transfer (F32)
|
100% |
13565
17.8 IPS |
|
|
Style Transfer (F16)
|
100% |
21560
28.4 IPS |
|
|
Style Transfer (I8)
|
100% |
21486
28.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3112
111.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4065
145.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4137
147.7 IPS |
|
|
Text Classification (F32)
|
100% |
1924
2.77 KIPS |
|
|
Text Classification (F16)
|
100% |
3062
4.40 KIPS |
|
|
Text Classification (I8)
|
96% |
3045
4.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
645
11.9 IPS |
|
|
Machine Translation (F16)
|
100% |
776
14.3 IPS |
|
|
Machine Translation (I8)
|
99% |
645
11.9 IPS |
