iPhone 12
Geekbench ML Score
2580
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 12:32 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% |
1154
215.9 IPS |
|
|
Image Classification (F16)
|
100% |
1472
275.4 IPS |
|
|
Image Classification (I8)
|
99% |
1465
274.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
491
8.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
504
8.41 IPS |
|
|
Image Segmentation (I8)
|
100% |
498
8.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
4709
5.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
10649
12.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
10674
12.9 IPS |
|
|
Object Detection (F32)
|
100% |
1091
81.4 IPS |
|
|
Object Detection (F16)
|
100% |
1482
110.7 IPS |
|
|
Object Detection (I8)
|
97% |
1096
81.8 IPS |
|
|
Face Detection (F32)
|
100% |
1950
23.2 IPS |
|
|
Face Detection (F16)
|
97% |
3452
41.1 IPS |
|
|
Face Detection (I8)
|
97% |
3420
40.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
4517
35.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
7131
55.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
7136
55.3 IPS |
|
|
Style Transfer (F32)
|
100% |
13129
17.3 IPS |
|
|
Style Transfer (F16)
|
100% |
21256
28.0 IPS |
|
|
Style Transfer (I8)
|
100% |
21501
28.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2948
105.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4108
146.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4335
154.8 IPS |
|
|
Text Classification (F32)
|
100% |
1893
2.72 KIPS |
|
|
Text Classification (F16)
|
100% |
2649
3.81 KIPS |
|
|
Text Classification (I8)
|
96% |
2647
3.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
680
12.5 IPS |
|
|
Machine Translation (F16)
|
100% |
787
14.5 IPS |
|
|
Machine Translation (I8)
|
99% |
654
12.0 IPS |
