iPhone 14 Pro
Geekbench ML Score
3548
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 29 2024 05:08 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% |
1440
269.4 IPS |
|
|
Image Classification (F16)
|
100% |
1877
351.1 IPS |
|
|
Image Classification (I8)
|
99% |
1873
350.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
809
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
798
13.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
799
13.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6340
7.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
14084
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14340
17.4 IPS |
|
|
Object Detection (F32)
|
100% |
1448
108.1 IPS |
|
|
Object Detection (F16)
|
100% |
1987
148.4 IPS |
|
|
Object Detection (I8)
|
97% |
1454
108.5 IPS |
|
|
Face Detection (F32)
|
100% |
2769
32.9 IPS |
|
|
Face Detection (F16)
|
97% |
4407
52.4 IPS |
|
|
Face Detection (I8)
|
97% |
4405
52.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5598
43.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8664
67.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
8677
67.3 IPS |
|
|
Style Transfer (F32)
|
100% |
17322
22.8 IPS |
|
|
Style Transfer (F16)
|
100% |
26435
34.8 IPS |
|
|
Style Transfer (I8)
|
100% |
26552
34.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4027
143.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4955
177.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4942
176.5 IPS |
|
|
Text Classification (F32)
|
100% |
2369
3.40 KIPS |
|
|
Text Classification (F16)
|
100% |
3957
5.69 KIPS |
|
|
Text Classification (I8)
|
96% |
3948
5.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
1221
22.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1532
28.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1204
22.2 IPS |
