iPhone 13 Pro
Geekbench ML Score
3252
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 05:09 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 5.50 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1381
258.5 IPS |
|
|
Image Classification (F16)
|
100% |
1744
326.4 IPS |
|
|
Image Classification (I8)
|
99% |
1739
325.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
759
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
781
13.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
745
12.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5680
6.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
13309
16.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
13285
16.1 IPS |
|
|
Object Detection (F32)
|
100% |
1356
101.3 IPS |
|
|
Object Detection (F16)
|
100% |
1840
137.4 IPS |
|
|
Object Detection (I8)
|
97% |
1356
101.2 IPS |
|
|
Face Detection (F32)
|
100% |
2270
27.0 IPS |
|
|
Face Detection (F16)
|
97% |
3928
46.7 IPS |
|
|
Face Detection (I8)
|
97% |
3843
45.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5017
38.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
8088
62.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
8076
62.6 IPS |
|
|
Style Transfer (F32)
|
100% |
16265
21.4 IPS |
|
|
Style Transfer (F16)
|
100% |
25400
33.4 IPS |
|
|
Style Transfer (I8)
|
100% |
25089
33.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3738
133.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5020
179.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4799
171.4 IPS |
|
|
Text Classification (F32)
|
100% |
2136
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3144
4.52 KIPS |
|
|
Text Classification (I8)
|
96% |
3160
4.54 KIPS |
|
|
Machine Translation (F32)
|
100% |
1112
20.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1370
25.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1097
20.2 IPS |
