iPhone 14 Pro
Geekbench ML Score
5290
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 26 2024 05:54 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1031
192.9 IPS |
|
|
Image Classification (F16)
|
100% |
5329
997.2 IPS |
|
|
Image Classification (I8)
|
99% |
5951
1.11 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1249
20.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1714
28.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1733
28.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
11225
13.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
77861
94.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
80364
97.3 IPS |
|
|
Object Detection (F32)
|
100% |
1371
102.3 IPS |
|
|
Object Detection (F16)
|
100% |
3791
283.0 IPS |
|
|
Object Detection (I8)
|
97% |
1483
110.7 IPS |
|
|
Face Detection (F32)
|
100% |
4996
59.4 IPS |
|
|
Face Detection (F16)
|
97% |
10273
122.1 IPS |
|
|
Face Detection (I8)
|
96% |
10475
124.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
8709
67.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
38406
297.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
41894
324.9 IPS |
|
|
Style Transfer (F32)
|
100% |
19833
26.1 IPS |
|
|
Style Transfer (F16)
|
100% |
114358
150.4 IPS |
|
|
Style Transfer (I8)
|
100% |
116812
153.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4324
154.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15494
553.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16694
596.2 IPS |
|
|
Text Classification (F32)
|
100% |
363
521.0 IPS |
|
|
Text Classification (F16)
|
100% |
568
816.2 IPS |
|
|
Text Classification (I8)
|
96% |
428
614.8 IPS |
|
|
Machine Translation (F32)
|
100% |
614
11.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1076
19.8 IPS |
|
|
Machine Translation (I8)
|
99% |
593
10.9 IPS |
