iPhone 12 Pro
Geekbench ML Score
2453
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 10 2024 01:07 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| 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 | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1085
203.0 IPS |
|
|
Image Classification (F16)
|
100% |
1425
266.7 IPS |
|
|
Image Classification (I8)
|
99% |
1361
254.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
480
8.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
482
8.05 IPS |
|
|
Image Segmentation (I8)
|
100% |
472
7.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
4126
5.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
9504
11.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
9506
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
1080
80.6 IPS |
|
|
Object Detection (F16)
|
100% |
1516
113.2 IPS |
|
|
Object Detection (I8)
|
97% |
1082
80.8 IPS |
|
|
Face Detection (F32)
|
100% |
1839
21.9 IPS |
|
|
Face Detection (F16)
|
97% |
3205
38.1 IPS |
|
|
Face Detection (I8)
|
97% |
3205
38.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4160
32.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
6833
53.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
6800
52.7 IPS |
|
|
Style Transfer (F32)
|
100% |
11493
15.1 IPS |
|
|
Style Transfer (F16)
|
100% |
19062
25.1 IPS |
|
|
Style Transfer (I8)
|
100% |
19268
25.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2646
94.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4162
148.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4117
147.0 IPS |
|
|
Text Classification (F32)
|
100% |
1936
2.78 KIPS |
|
|
Text Classification (F16)
|
100% |
3045
4.38 KIPS |
|
|
Text Classification (I8)
|
96% |
3060
4.40 KIPS |
|
|
Machine Translation (F32)
|
100% |
622
11.4 IPS |
|
|
Machine Translation (F16)
|
100% |
704
13.0 IPS |
|
|
Machine Translation (I8)
|
99% |
592
10.9 IPS |
