iPhone 14 Pro
Geekbench ML Score
3566
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 27 2024 06:02 AM |
| 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% |
1447
270.8 IPS |
|
|
Image Classification (F16)
|
100% |
1775
332.1 IPS |
|
|
Image Classification (I8)
|
99% |
1777
332.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
807
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
852
14.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
848
14.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6258
7.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
14221
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14260
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1451
108.3 IPS |
|
|
Object Detection (F16)
|
100% |
1984
148.1 IPS |
|
|
Object Detection (I8)
|
97% |
1449
108.2 IPS |
|
|
Face Detection (F32)
|
100% |
2738
32.6 IPS |
|
|
Face Detection (F16)
|
97% |
4399
52.3 IPS |
|
|
Face Detection (I8)
|
97% |
4387
52.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5582
43.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8655
67.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
8695
67.4 IPS |
|
|
Style Transfer (F32)
|
100% |
17484
23.0 IPS |
|
|
Style Transfer (F16)
|
100% |
26668
35.1 IPS |
|
|
Style Transfer (I8)
|
100% |
26711
35.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4015
143.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5040
180.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5093
181.9 IPS |
|
|
Text Classification (F32)
|
100% |
2382
3.42 KIPS |
|
|
Text Classification (F16)
|
100% |
3941
5.66 KIPS |
|
|
Text Classification (I8)
|
96% |
3957
5.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
1257
23.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1545
28.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1270
23.4 IPS |
