iPhone 12
Geekbench ML Score
2620
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 18 2024 09:09 AM |
| Views | 5 |
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% |
1140
213.3 IPS |
|
|
Image Classification (F16)
|
100% |
1467
274.5 IPS |
|
|
Image Classification (I8)
|
99% |
1466
274.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
537
8.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
519
8.67 IPS |
|
|
Image Segmentation (I8)
|
100% |
522
8.72 IPS |
|
|
Pose Estimation (F32)
|
100% |
4878
5.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
10667
12.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
10761
13.0 IPS |
|
|
Object Detection (F32)
|
100% |
1117
83.4 IPS |
|
|
Object Detection (F16)
|
100% |
1522
113.6 IPS |
|
|
Object Detection (I8)
|
97% |
1118
83.5 IPS |
|
|
Face Detection (F32)
|
100% |
1929
22.9 IPS |
|
|
Face Detection (F16)
|
97% |
3449
41.0 IPS |
|
|
Face Detection (I8)
|
97% |
3418
40.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
4498
34.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
7126
55.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
7114
55.2 IPS |
|
|
Style Transfer (F32)
|
100% |
13164
17.3 IPS |
|
|
Style Transfer (F16)
|
100% |
21367
28.1 IPS |
|
|
Style Transfer (I8)
|
100% |
21593
28.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3017
107.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4149
148.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4122
147.2 IPS |
|
|
Text Classification (F32)
|
100% |
1940
2.79 KIPS |
|
|
Text Classification (F16)
|
100% |
3064
4.40 KIPS |
|
|
Text Classification (I8)
|
96% |
3044
4.37 KIPS |
|
|
Machine Translation (F32)
|
100% |
645
11.9 IPS |
|
|
Machine Translation (F16)
|
100% |
775
14.3 IPS |
|
|
Machine Translation (I8)
|
99% |
641
11.8 IPS |
