iPhone 14 Pro
Geekbench ML Score
6091
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 24 2024 06:18 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.5.1 |
| 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 | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1811
338.8 IPS |
|
|
Image Classification (F16)
|
100% |
6180
1.16 KIPS |
|
|
Image Classification (I8)
|
99% |
6160
1.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
609
10.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
4023
67.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
3952
66.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
11655
14.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
86492
104.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
84228
102.0 IPS |
|
|
Object Detection (F32)
|
100% |
1536
114.7 IPS |
|
|
Object Detection (F16)
|
100% |
4426
330.4 IPS |
|
|
Object Detection (I8)
|
97% |
1533
114.5 IPS |
|
|
Face Detection (F32)
|
100% |
5334
63.4 IPS |
|
|
Face Detection (F16)
|
97% |
10082
119.9 IPS |
|
|
Face Detection (I8)
|
96% |
10123
120.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
8722
67.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
28935
224.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
33636
260.8 IPS |
|
|
Style Transfer (F32)
|
100% |
21313
28.0 IPS |
|
|
Style Transfer (F16)
|
100% |
99565
131.0 IPS |
|
|
Style Transfer (I8)
|
100% |
100090
131.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4371
156.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
13921
497.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
13828
493.8 IPS |
|
|
Text Classification (F32)
|
100% |
473
680.4 IPS |
|
|
Text Classification (F16)
|
100% |
902
1.30 KIPS |
|
|
Text Classification (I8)
|
96% |
929
1.34 KIPS |
|
|
Machine Translation (F32)
|
100% |
1174
21.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1197
22.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1280
23.6 IPS |
