iPhone 13
Geekbench ML Score
1814
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 16 2024 12:13 AM |
| 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% |
938
175.5 IPS |
|
|
Image Classification (F16)
|
100% |
927
173.4 IPS |
|
|
Image Classification (I8)
|
99% |
926
173.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
503
8.41 IPS |
|
|
Image Segmentation (F16)
|
100% |
466
7.79 IPS |
|
|
Image Segmentation (I8)
|
100% |
471
7.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
5461
6.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
10475
12.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
10460
12.7 IPS |
|
|
Object Detection (F32)
|
100% |
967
72.2 IPS |
|
|
Object Detection (F16)
|
100% |
1052
78.6 IPS |
|
|
Object Detection (I8)
|
97% |
971
72.5 IPS |
|
|
Face Detection (F32)
|
100% |
1664
19.8 IPS |
|
|
Face Detection (F16)
|
100% |
1559
18.5 IPS |
|
|
Face Detection (I8)
|
99% |
1569
18.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3353
26.0 IPS |
|
|
Depth Estimation (F16)
|
99% |
3724
28.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
3692
28.6 IPS |
|
|
Style Transfer (F32)
|
100% |
10264
13.5 IPS |
|
|
Style Transfer (F16)
|
100% |
12203
16.1 IPS |
|
|
Style Transfer (I8)
|
100% |
12136
16.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3047
108.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2652
94.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2645
94.4 IPS |
|
|
Text Classification (F32)
|
100% |
965
1.39 KIPS |
|
|
Text Classification (F16)
|
100% |
603
867.0 IPS |
|
|
Text Classification (I8)
|
96% |
589
846.8 IPS |
|
|
Machine Translation (F32)
|
100% |
774
14.2 IPS |
|
|
Machine Translation (F16)
|
99% |
891
16.4 IPS |
|
|
Machine Translation (I8)
|
99% |
764
14.1 IPS |
