iPhone 14 Pro
Geekbench ML Score
3567
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 10 2024 07:54 PM |
| Views | 5 |
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% |
1447
270.8 IPS |
|
|
Image Classification (F16)
|
100% |
1880
351.8 IPS |
|
|
Image Classification (I8)
|
99% |
1867
349.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
796
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
833
13.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
799
13.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6364
7.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
14206
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14181
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1469
109.7 IPS |
|
|
Object Detection (F16)
|
100% |
2013
150.3 IPS |
|
|
Object Detection (I8)
|
97% |
1457
108.8 IPS |
|
|
Face Detection (F32)
|
100% |
2764
32.9 IPS |
|
|
Face Detection (F16)
|
97% |
4396
52.3 IPS |
|
|
Face Detection (I8)
|
97% |
4411
52.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5587
43.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8701
67.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
8682
67.3 IPS |
|
|
Style Transfer (F32)
|
100% |
17372
22.9 IPS |
|
|
Style Transfer (F16)
|
100% |
26315
34.6 IPS |
|
|
Style Transfer (I8)
|
100% |
26414
34.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4117
147.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5053
180.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4955
177.0 IPS |
|
|
Text Classification (F32)
|
100% |
2379
3.42 KIPS |
|
|
Text Classification (F16)
|
100% |
3947
5.67 KIPS |
|
|
Text Classification (I8)
|
96% |
3961
5.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
1251
23.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1558
28.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1226
22.6 IPS |
