iPhone 14 Pro
Geekbench ML Score
3574
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 26 2024 05:45 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
1437
268.8 IPS |
|
|
Image Classification (F16)
|
100% |
1849
345.9 IPS |
|
|
Image Classification (I8)
|
99% |
1864
348.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
810
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
814
13.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
846
14.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6353
7.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
14343
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14357
17.4 IPS |
|
|
Object Detection (F32)
|
100% |
1443
107.8 IPS |
|
|
Object Detection (F16)
|
100% |
1982
148.0 IPS |
|
|
Object Detection (I8)
|
97% |
1442
107.6 IPS |
|
|
Face Detection (F32)
|
100% |
2754
32.7 IPS |
|
|
Face Detection (F16)
|
97% |
4402
52.3 IPS |
|
|
Face Detection (I8)
|
97% |
4437
52.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5598
43.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8819
68.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
8698
67.5 IPS |
|
|
Style Transfer (F32)
|
100% |
17326
22.8 IPS |
|
|
Style Transfer (F16)
|
100% |
26386
34.7 IPS |
|
|
Style Transfer (I8)
|
100% |
26579
35.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4029
143.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5077
181.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5109
182.4 IPS |
|
|
Text Classification (F32)
|
100% |
2434
3.50 KIPS |
|
|
Text Classification (F16)
|
100% |
3916
5.63 KIPS |
|
|
Text Classification (I8)
|
96% |
3926
5.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
1251
23.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1547
28.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1243
22.9 IPS |
