iPhone 13
Geekbench ML Score
2085
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 27 2024 07:00 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 | 3.54 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
830
155.3 IPS |
|
|
Image Classification (F16)
|
100% |
676
126.5 IPS |
|
|
Image Classification (I8)
|
99% |
557
104.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1129
18.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1185
19.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1153
19.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
9031
10.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
9912
12.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
9184
11.1 IPS |
|
|
Object Detection (F32)
|
100% |
1031
77.0 IPS |
|
|
Object Detection (F16)
|
100% |
891
66.5 IPS |
|
|
Object Detection (I8)
|
97% |
1405
104.9 IPS |
|
|
Face Detection (F32)
|
100% |
3942
46.9 IPS |
|
|
Face Detection (F16)
|
98% |
4465
53.1 IPS |
|
|
Face Detection (I8)
|
97% |
3323
39.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5799
45.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
6066
47.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
5736
44.5 IPS |
|
|
Style Transfer (F32)
|
100% |
16641
21.9 IPS |
|
|
Style Transfer (F16)
|
100% |
19517
25.7 IPS |
|
|
Style Transfer (I8)
|
100% |
19336
25.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3044
108.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3129
111.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3118
111.4 IPS |
|
|
Text Classification (F32)
|
100% |
371
533.8 IPS |
|
|
Text Classification (F16)
|
100% |
355
510.7 IPS |
|
|
Text Classification (I8)
|
96% |
211
303.6 IPS |
|
|
Machine Translation (F32)
|
100% |
523
9.62 IPS |
|
|
Machine Translation (F16)
|
100% |
489
8.99 IPS |
|
|
Machine Translation (I8)
|
99% |
471
8.67 IPS |
