iPhone 14 Pro
Geekbench ML Score
5111
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 03 2024 02:46 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% |
1120
209.6 IPS |
|
|
Image Classification (F16)
|
100% |
5311
993.8 IPS |
|
|
Image Classification (I8)
|
99% |
5809
1.09 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1208
20.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1729
28.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1700
28.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
11290
13.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
78688
95.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
81750
99.0 IPS |
|
|
Object Detection (F32)
|
100% |
1408
105.1 IPS |
|
|
Object Detection (F16)
|
100% |
3878
289.5 IPS |
|
|
Object Detection (I8)
|
97% |
1394
104.1 IPS |
|
|
Face Detection (F32)
|
100% |
5147
61.2 IPS |
|
|
Face Detection (F16)
|
97% |
10162
120.8 IPS |
|
|
Face Detection (I8)
|
96% |
10147
120.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
8723
67.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
41512
321.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
38560
299.0 IPS |
|
|
Style Transfer (F32)
|
100% |
20024
26.3 IPS |
|
|
Style Transfer (F16)
|
100% |
117380
154.4 IPS |
|
|
Style Transfer (I8)
|
100% |
116832
153.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4356
155.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15300
546.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16807
600.2 IPS |
|
|
Text Classification (F32)
|
100% |
356
512.1 IPS |
|
|
Text Classification (F16)
|
100% |
357
513.3 IPS |
|
|
Text Classification (I8)
|
96% |
240
344.8 IPS |
|
|
Machine Translation (F32)
|
100% |
599
11.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1089
20.0 IPS |
|
|
Machine Translation (I8)
|
99% |
588
10.8 IPS |
