iPhone 13 Pro
Geekbench ML Score
3244
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 10 2024 07:57 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% |
1372
256.7 IPS |
|
|
Image Classification (F16)
|
100% |
1747
326.9 IPS |
|
|
Image Classification (I8)
|
99% |
1747
326.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
758
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
762
12.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
744
12.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5544
6.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
13116
15.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13241
16.0 IPS |
|
|
Object Detection (F32)
|
100% |
1345
100.4 IPS |
|
|
Object Detection (F16)
|
100% |
1847
137.9 IPS |
|
|
Object Detection (I8)
|
97% |
1361
101.6 IPS |
|
|
Face Detection (F32)
|
100% |
2327
27.7 IPS |
|
|
Face Detection (F16)
|
97% |
3828
45.5 IPS |
|
|
Face Detection (I8)
|
97% |
3832
45.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
4830
37.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
8037
62.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
8028
62.3 IPS |
|
|
Style Transfer (F32)
|
100% |
15976
21.0 IPS |
|
|
Style Transfer (F16)
|
100% |
24908
32.8 IPS |
|
|
Style Transfer (I8)
|
100% |
25066
33.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3705
132.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4874
174.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4831
172.5 IPS |
|
|
Text Classification (F32)
|
100% |
2176
3.13 KIPS |
|
|
Text Classification (F16)
|
100% |
3489
5.01 KIPS |
|
|
Text Classification (I8)
|
96% |
3476
5.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
1083
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1320
24.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1055
19.4 IPS |
