iPhone 14 Pro
Geekbench ML Score
7331
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 11 2024 05:46 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1078
201.7 IPS |
|
|
Image Classification (F16)
|
100% |
8194
1.53 KIPS |
|
|
Image Classification (I8)
|
99% |
9698
1.81 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1193
19.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2076
34.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2107
35.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
11353
13.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
89276
108.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
94788
114.8 IPS |
|
|
Object Detection (F32)
|
100% |
1358
101.4 IPS |
|
|
Object Detection (F16)
|
100% |
5033
375.7 IPS |
|
|
Object Detection (I8)
|
97% |
1546
115.4 IPS |
|
|
Face Detection (F32)
|
100% |
4861
57.8 IPS |
|
|
Face Detection (F16)
|
97% |
17188
204.4 IPS |
|
|
Face Detection (I8)
|
96% |
17405
206.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
8630
66.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
46616
361.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
55992
434.2 IPS |
|
|
Style Transfer (F32)
|
100% |
20997
27.6 IPS |
|
|
Style Transfer (F16)
|
100% |
129835
170.8 IPS |
|
|
Style Transfer (I8)
|
100% |
128589
169.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4304
153.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
31537
1.13 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
32481
1.16 KIPS |
|
|
Text Classification (F32)
|
100% |
2404
3.45 KIPS |
|
|
Text Classification (F16)
|
100% |
2693
3.87 KIPS |
|
|
Text Classification (I8)
|
96% |
1956
2.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
557
10.2 IPS |
|
|
Machine Translation (F16)
|
100% |
999
18.4 IPS |
|
|
Machine Translation (I8)
|
99% |
559
10.3 IPS |
