iPhone 13 Pro
Geekbench ML Score
1916
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 29 2025 11:06 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3.1 |
| 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 | 5.52 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
930
174.1 IPS |
|
|
Image Classification (F16)
|
100% |
898
168.1 IPS |
|
|
Image Classification (I8)
|
99% |
903
168.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
640
10.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
579
9.67 IPS |
|
|
Image Segmentation (I8)
|
100% |
577
9.64 IPS |
|
|
Pose Estimation (F32)
|
100% |
5421
6.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
9491
11.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
9512
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
1001
74.7 IPS |
|
|
Object Detection (F16)
|
100% |
1026
76.6 IPS |
|
|
Object Detection (I8)
|
97% |
1025
76.5 IPS |
|
|
Face Detection (F32)
|
100% |
1717
20.4 IPS |
|
|
Face Detection (F16)
|
100% |
1589
18.9 IPS |
|
|
Face Detection (I8)
|
99% |
1589
18.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3256
25.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
3644
28.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
3637
28.2 IPS |
|
|
Style Transfer (F32)
|
100% |
9919
13.0 IPS |
|
|
Style Transfer (F16)
|
100% |
11801
15.5 IPS |
|
|
Style Transfer (I8)
|
100% |
11798
15.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2372
84.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2519
90.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2514
89.8 IPS |
|
|
Text Classification (F32)
|
100% |
985
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
461
662.1 IPS |
|
|
Text Classification (I8)
|
96% |
652
936.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1322
24.3 IPS |
|
|
Machine Translation (F16)
|
99% |
1776
32.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1334
24.5 IPS |
