iPhone 12 Pro
Geekbench ML Score
3849
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 01:07 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 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 | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
315
59.0 IPS |
|
|
Image Classification (F16)
|
100% |
4000
748.4 IPS |
|
|
Image Classification (I8)
|
99% |
4647
869.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
531
8.86 IPS |
|
|
Image Segmentation (F16)
|
100% |
3109
51.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
3175
53.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5803
7.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
56571
68.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
57468
69.6 IPS |
|
|
Object Detection (F32)
|
100% |
558
41.6 IPS |
|
|
Object Detection (F16)
|
100% |
3674
274.3 IPS |
|
|
Object Detection (I8)
|
97% |
470
35.1 IPS |
|
|
Face Detection (F32)
|
100% |
2884
34.3 IPS |
|
|
Face Detection (F16)
|
97% |
10542
125.3 IPS |
|
|
Face Detection (I8)
|
96% |
10590
125.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5323
41.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
33658
261.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
37092
287.6 IPS |
|
|
Style Transfer (F32)
|
100% |
10935
14.4 IPS |
|
|
Style Transfer (F16)
|
100% |
89686
118.0 IPS |
|
|
Style Transfer (I8)
|
100% |
95400
125.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1793
64.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15192
542.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
14736
526.3 IPS |
|
|
Text Classification (F32)
|
100% |
251
361.4 IPS |
|
|
Text Classification (F16)
|
100% |
898
1.29 KIPS |
|
|
Text Classification (I8)
|
96% |
326
468.1 IPS |
|
|
Machine Translation (F32)
|
100% |
324
5.97 IPS |
|
|
Machine Translation (F16)
|
100% |
1016
18.7 IPS |
|
|
Machine Translation (I8)
|
99% |
336
6.18 IPS |
