iPhone 13 Pro
Geekbench ML Score
913
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 12 2024 06:51 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
529
98.9 IPS |
|
|
Image Classification (F16)
|
100% |
439
82.1 IPS |
|
|
Image Classification (I8)
|
99% |
439
82.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
243
4.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
219
3.65 IPS |
|
|
Image Segmentation (I8)
|
100% |
218
3.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
2546
3.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
5113
6.19 IPS |
|
|
Pose Estimation (I8)
|
100% |
5119
6.20 IPS |
|
|
Object Detection (F32)
|
100% |
512
38.2 IPS |
|
|
Object Detection (F16)
|
100% |
508
37.9 IPS |
|
|
Object Detection (I8)
|
97% |
510
38.1 IPS |
|
|
Face Detection (F32)
|
100% |
1108
13.2 IPS |
|
|
Face Detection (F16)
|
100% |
824
9.79 IPS |
|
|
Face Detection (I8)
|
99% |
832
9.89 IPS |
|
|
Depth Estimation (F32)
|
100% |
1636
12.7 IPS |
|
|
Depth Estimation (F16)
|
99% |
1739
13.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
1740
13.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4695
6.18 IPS |
|
|
Style Transfer (F16)
|
100% |
5585
7.35 IPS |
|
|
Style Transfer (I8)
|
100% |
5607
7.38 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1390
49.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1169
41.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1190
42.5 IPS |
|
|
Text Classification (F32)
|
100% |
550
790.5 IPS |
|
|
Text Classification (F16)
|
100% |
358
515.1 IPS |
|
|
Text Classification (I8)
|
96% |
359
515.6 IPS |
|
|
Machine Translation (F32)
|
100% |
424
7.80 IPS |
|
|
Machine Translation (F16)
|
99% |
462
8.51 IPS |
|
|
Machine Translation (I8)
|
99% |
425
7.83 IPS |
