iPhone 14 Pro
Geekbench ML Score
5236
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 27 2024 06:06 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1335
249.8 IPS |
|
|
Image Classification (F16)
|
100% |
5320
995.5 IPS |
|
|
Image Classification (I8)
|
99% |
5576
1.04 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1233
20.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1718
28.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1750
29.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
11146
13.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
78753
95.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
80319
97.3 IPS |
|
|
Object Detection (F32)
|
100% |
1805
134.7 IPS |
|
|
Object Detection (F16)
|
100% |
3872
289.1 IPS |
|
|
Object Detection (I8)
|
97% |
1434
107.0 IPS |
|
|
Face Detection (F32)
|
100% |
5140
61.1 IPS |
|
|
Face Detection (F16)
|
97% |
10351
123.1 IPS |
|
|
Face Detection (I8)
|
96% |
10131
120.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
8664
67.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
38387
297.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
36510
283.1 IPS |
|
|
Style Transfer (F32)
|
100% |
20543
27.0 IPS |
|
|
Style Transfer (F16)
|
100% |
114543
150.7 IPS |
|
|
Style Transfer (I8)
|
100% |
111042
146.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4852
173.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16362
584.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16735
597.7 IPS |
|
|
Text Classification (F32)
|
100% |
373
536.4 IPS |
|
|
Text Classification (F16)
|
100% |
360
518.0 IPS |
|
|
Text Classification (I8)
|
96% |
297
427.3 IPS |
|
|
Machine Translation (F32)
|
100% |
603
11.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1108
20.4 IPS |
|
|
Machine Translation (I8)
|
99% |
595
10.9 IPS |
