iPhone 13 Pro
Geekbench ML Score
1692
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 26 2024 02:50 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
554
103.6 IPS |
|
|
Image Classification (F16)
|
100% |
987
184.8 IPS |
|
|
Image Classification (I8)
|
99% |
978
183.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
470
7.84 IPS |
|
|
Image Segmentation (F16)
|
100% |
540
9.02 IPS |
|
|
Image Segmentation (I8)
|
100% |
543
9.06 IPS |
|
|
Pose Estimation (F32)
|
100% |
2836
3.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
6078
7.36 IPS |
|
|
Pose Estimation (I8)
|
100% |
6009
7.28 IPS |
|
|
Object Detection (F32)
|
100% |
588
43.9 IPS |
|
|
Object Detection (F16)
|
100% |
974
72.7 IPS |
|
|
Object Detection (I8)
|
97% |
586
43.7 IPS |
|
|
Face Detection (F32)
|
100% |
1509
17.9 IPS |
|
|
Face Detection (F16)
|
97% |
2456
29.2 IPS |
|
|
Face Detection (I8)
|
97% |
2452
29.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2336
18.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
4674
36.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
4704
36.5 IPS |
|
|
Style Transfer (F32)
|
100% |
7671
10.1 IPS |
|
|
Style Transfer (F16)
|
100% |
11649
15.3 IPS |
|
|
Style Transfer (I8)
|
100% |
11710
15.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1843
65.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2189
78.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2203
78.7 IPS |
|
|
Text Classification (F32)
|
100% |
1005
1.44 KIPS |
|
|
Text Classification (F16)
|
100% |
1716
2.47 KIPS |
|
|
Text Classification (I8)
|
96% |
1717
2.47 KIPS |
|
|
Machine Translation (F32)
|
100% |
572
10.5 IPS |
|
|
Machine Translation (F16)
|
100% |
663
12.2 IPS |
|
|
Machine Translation (I8)
|
99% |
571
10.5 IPS |
