iPhone 14 Pro
Geekbench ML Score
1856
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 23 2024 09:29 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| Model | iPhone 14 Pro |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 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 | 5.52 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1203
225.1 IPS |
|
|
Image Classification (F16)
|
100% |
1109
207.5 IPS |
|
|
Image Classification (I8)
|
99% |
1050
196.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
519
8.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
453
7.56 IPS |
|
|
Image Segmentation (I8)
|
100% |
457
7.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
4419
5.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
8879
10.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
10919
13.2 IPS |
|
|
Object Detection (F32)
|
100% |
1152
86.0 IPS |
|
|
Object Detection (F16)
|
100% |
1189
88.8 IPS |
|
|
Object Detection (I8)
|
97% |
1191
88.9 IPS |
|
|
Face Detection (F32)
|
100% |
2048
24.4 IPS |
|
|
Face Detection (F16)
|
100% |
1739
20.7 IPS |
|
|
Face Detection (I8)
|
99% |
1556
18.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2815
21.8 IPS |
|
|
Depth Estimation (F16)
|
99% |
3252
25.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
3953
30.7 IPS |
|
|
Style Transfer (F32)
|
100% |
10926
14.4 IPS |
|
|
Style Transfer (F16)
|
100% |
11591
15.2 IPS |
|
|
Style Transfer (I8)
|
100% |
10374
13.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3331
119.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3001
107.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2604
93.0 IPS |
|
|
Text Classification (F32)
|
100% |
1170
1.68 KIPS |
|
|
Text Classification (F16)
|
100% |
823
1.18 KIPS |
|
|
Text Classification (I8)
|
96% |
824
1.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
775
14.3 IPS |
|
|
Machine Translation (F16)
|
99% |
536
9.87 IPS |
|
|
Machine Translation (I8)
|
99% |
486
8.95 IPS |
