iPhone 14 Pro
Geekbench ML Score
3491
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 04 2024 07:27 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 5.50 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1430
267.6 IPS |
|
|
Image Classification (F16)
|
100% |
1855
347.2 IPS |
|
|
Image Classification (I8)
|
99% |
1868
349.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
803
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
791
13.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
781
13.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5686
6.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
13779
16.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
13913
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1440
107.5 IPS |
|
|
Object Detection (F16)
|
100% |
2020
150.8 IPS |
|
|
Object Detection (I8)
|
97% |
1449
108.2 IPS |
|
|
Face Detection (F32)
|
100% |
2645
31.4 IPS |
|
|
Face Detection (F16)
|
97% |
4248
50.5 IPS |
|
|
Face Detection (I8)
|
97% |
4246
50.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5307
41.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8570
66.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
8652
67.1 IPS |
|
|
Style Transfer (F32)
|
100% |
16989
22.3 IPS |
|
|
Style Transfer (F16)
|
100% |
26326
34.6 IPS |
|
|
Style Transfer (I8)
|
100% |
26529
34.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4020
143.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5105
182.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5049
180.3 IPS |
|
|
Text Classification (F32)
|
100% |
2378
3.42 KIPS |
|
|
Text Classification (F16)
|
100% |
3945
5.67 KIPS |
|
|
Text Classification (I8)
|
96% |
3983
5.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
1184
21.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1459
26.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1160
21.4 IPS |
