iPhone 14 Pro
Geekbench ML Score
5098
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | pesho666 |
| Upload Date | January 21 2024 09:12 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| 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 | 5.52 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1184
221.5 IPS |
|
|
Image Classification (F16)
|
100% |
5425
1.02 KIPS |
|
|
Image Classification (I8)
|
99% |
5613
1.05 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1204
20.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1670
27.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1662
27.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
11369
13.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
69691
84.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
83162
100.7 IPS |
|
|
Object Detection (F32)
|
100% |
1347
100.6 IPS |
|
|
Object Detection (F16)
|
100% |
3843
286.9 IPS |
|
|
Object Detection (I8)
|
97% |
1422
106.2 IPS |
|
|
Face Detection (F32)
|
100% |
5091
60.5 IPS |
|
|
Face Detection (F16)
|
97% |
10295
122.4 IPS |
|
|
Face Detection (I8)
|
96% |
10299
122.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
8634
67.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
34887
270.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
38818
301.0 IPS |
|
|
Style Transfer (F32)
|
100% |
21116
27.8 IPS |
|
|
Style Transfer (F16)
|
100% |
115102
151.4 IPS |
|
|
Style Transfer (I8)
|
100% |
120180
158.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4340
155.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16501
589.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16575
591.9 IPS |
|
|
Text Classification (F32)
|
100% |
376
540.4 IPS |
|
|
Text Classification (F16)
|
100% |
382
548.9 IPS |
|
|
Text Classification (I8)
|
96% |
231
331.7 IPS |
|
|
Machine Translation (F32)
|
100% |
609
11.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1113
20.5 IPS |
|
|
Machine Translation (I8)
|
99% |
580
10.7 IPS |
