iPhone 14 Pro
Geekbench ML Score
3543
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 26 2024 05:04 PM |
| Views | 5 |
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% |
1452
271.7 IPS |
|
|
Image Classification (F16)
|
100% |
1857
347.4 IPS |
|
|
Image Classification (I8)
|
99% |
1851
346.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
801
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
790
13.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
792
13.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6194
7.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
14183
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14322
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1454
108.5 IPS |
|
|
Object Detection (F16)
|
100% |
1974
147.3 IPS |
|
|
Object Detection (I8)
|
97% |
1448
108.1 IPS |
|
|
Face Detection (F32)
|
100% |
2737
32.5 IPS |
|
|
Face Detection (F16)
|
97% |
4381
52.1 IPS |
|
|
Face Detection (I8)
|
97% |
4455
53.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5548
43.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
8613
66.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
8649
67.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17308
22.8 IPS |
|
|
Style Transfer (F16)
|
100% |
26483
34.8 IPS |
|
|
Style Transfer (I8)
|
100% |
26473
34.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4011
143.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4933
176.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4963
177.2 IPS |
|
|
Text Classification (F32)
|
100% |
2359
3.39 KIPS |
|
|
Text Classification (F16)
|
100% |
3978
5.72 KIPS |
|
|
Text Classification (I8)
|
96% |
3909
5.62 KIPS |
|
|
Machine Translation (F32)
|
100% |
1295
23.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1510
27.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1230
22.6 IPS |
