iPhone 13
Geekbench ML Score
1813
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 09 2024 10:21 AM |
| Views | 2 |
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% |
947
177.3 IPS |
|
|
Image Classification (F16)
|
100% |
925
173.2 IPS |
|
|
Image Classification (I8)
|
99% |
928
173.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
511
8.54 IPS |
|
|
Image Segmentation (F16)
|
100% |
474
7.91 IPS |
|
|
Image Segmentation (I8)
|
100% |
468
7.82 IPS |
|
|
Pose Estimation (F32)
|
100% |
5506
6.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
10397
12.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
10510
12.7 IPS |
|
|
Object Detection (F32)
|
100% |
966
72.1 IPS |
|
|
Object Detection (F16)
|
100% |
1046
78.1 IPS |
|
|
Object Detection (I8)
|
97% |
990
73.9 IPS |
|
|
Face Detection (F32)
|
100% |
1678
20.0 IPS |
|
|
Face Detection (F16)
|
100% |
1587
18.9 IPS |
|
|
Face Detection (I8)
|
99% |
1582
18.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3338
25.9 IPS |
|
|
Depth Estimation (F16)
|
99% |
3752
29.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
3785
29.4 IPS |
|
|
Style Transfer (F32)
|
100% |
10333
13.6 IPS |
|
|
Style Transfer (F16)
|
100% |
12199
16.0 IPS |
|
|
Style Transfer (I8)
|
100% |
12197
16.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3104
110.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2631
94.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2631
93.9 IPS |
|
|
Text Classification (F32)
|
100% |
960
1.38 KIPS |
|
|
Text Classification (F16)
|
100% |
597
858.4 IPS |
|
|
Text Classification (I8)
|
96% |
593
851.9 IPS |
|
|
Machine Translation (F32)
|
100% |
747
13.7 IPS |
|
|
Machine Translation (F16)
|
99% |
851
15.7 IPS |
|
|
Machine Translation (I8)
|
99% |
724
13.3 IPS |
