iPhone 12 Pro
Geekbench ML Score
2602
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 27 2024 08:51 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
1144
214.0 IPS |
|
|
Image Classification (F16)
|
100% |
1468
274.6 IPS |
|
|
Image Classification (I8)
|
99% |
1464
274.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
489
8.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
496
8.29 IPS |
|
|
Image Segmentation (I8)
|
100% |
493
8.24 IPS |
|
|
Pose Estimation (F32)
|
100% |
4956
6.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
11046
13.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
11066
13.4 IPS |
|
|
Object Detection (F32)
|
100% |
1122
83.8 IPS |
|
|
Object Detection (F16)
|
100% |
1535
114.6 IPS |
|
|
Object Detection (I8)
|
97% |
1120
83.6 IPS |
|
|
Face Detection (F32)
|
100% |
1937
23.0 IPS |
|
|
Face Detection (F16)
|
97% |
3530
42.0 IPS |
|
|
Face Detection (I8)
|
97% |
3505
41.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
4451
34.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
7180
55.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
7110
55.1 IPS |
|
|
Style Transfer (F32)
|
100% |
13377
17.6 IPS |
|
|
Style Transfer (F16)
|
100% |
21605
28.4 IPS |
|
|
Style Transfer (I8)
|
100% |
21664
28.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3067
109.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4102
146.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4173
149.0 IPS |
|
|
Text Classification (F32)
|
100% |
1920
2.76 KIPS |
|
|
Text Classification (F16)
|
100% |
2886
4.15 KIPS |
|
|
Text Classification (I8)
|
96% |
2678
3.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
636
11.7 IPS |
|
|
Machine Translation (F16)
|
100% |
775
14.3 IPS |
|
|
Machine Translation (I8)
|
99% |
645
11.9 IPS |
