iPhone 13
Geekbench ML Score
1784
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 21 2024 03:40 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| Model | iPhone 13 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| 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 | 3.55 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
950
177.8 IPS |
|
|
Image Classification (F16)
|
100% |
919
172.0 IPS |
|
|
Image Classification (I8)
|
99% |
925
173.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
501
8.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
450
7.51 IPS |
|
|
Image Segmentation (I8)
|
100% |
458
7.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
5177
6.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
10361
12.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
10401
12.6 IPS |
|
|
Object Detection (F32)
|
100% |
954
71.2 IPS |
|
|
Object Detection (F16)
|
100% |
1032
77.1 IPS |
|
|
Object Detection (I8)
|
97% |
950
70.9 IPS |
|
|
Face Detection (F32)
|
100% |
1643
19.5 IPS |
|
|
Face Detection (F16)
|
100% |
1530
18.2 IPS |
|
|
Face Detection (I8)
|
99% |
1522
18.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
3268
25.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
3644
28.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
3653
28.3 IPS |
|
|
Style Transfer (F32)
|
100% |
10099
13.3 IPS |
|
|
Style Transfer (F16)
|
100% |
11704
15.4 IPS |
|
|
Style Transfer (I8)
|
100% |
11688
15.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3056
109.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2618
93.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2618
93.5 IPS |
|
|
Text Classification (F32)
|
100% |
966
1.39 KIPS |
|
|
Text Classification (F16)
|
100% |
601
863.3 IPS |
|
|
Text Classification (I8)
|
96% |
601
864.1 IPS |
|
|
Machine Translation (F32)
|
100% |
751
13.8 IPS |
|
|
Machine Translation (F16)
|
99% |
862
15.9 IPS |
|
|
Machine Translation (I8)
|
99% |
737
13.6 IPS |
