iPhone 13
Geekbench ML Score
1801
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 10 2024 09:13 AM |
| Views | 1 |
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% |
937
175.3 IPS |
|
|
Image Classification (F16)
|
100% |
921
172.4 IPS |
|
|
Image Classification (I8)
|
99% |
917
171.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
497
8.30 IPS |
|
|
Image Segmentation (F16)
|
100% |
462
7.71 IPS |
|
|
Image Segmentation (I8)
|
100% |
450
7.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
5372
6.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
10364
12.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
10345
12.5 IPS |
|
|
Object Detection (F32)
|
100% |
954
71.2 IPS |
|
|
Object Detection (F16)
|
100% |
1062
79.3 IPS |
|
|
Object Detection (I8)
|
97% |
963
71.9 IPS |
|
|
Face Detection (F32)
|
100% |
1646
19.6 IPS |
|
|
Face Detection (F16)
|
100% |
1561
18.6 IPS |
|
|
Face Detection (I8)
|
99% |
1558
18.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
3307
25.6 IPS |
|
|
Depth Estimation (F16)
|
99% |
3713
28.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
3692
28.6 IPS |
|
|
Style Transfer (F32)
|
100% |
10158
13.4 IPS |
|
|
Style Transfer (F16)
|
100% |
11983
15.8 IPS |
|
|
Style Transfer (I8)
|
100% |
12134
16.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3048
108.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2622
93.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2640
94.3 IPS |
|
|
Text Classification (F32)
|
100% |
975
1.40 KIPS |
|
|
Text Classification (F16)
|
100% |
597
857.4 IPS |
|
|
Text Classification (I8)
|
96% |
588
844.8 IPS |
|
|
Machine Translation (F32)
|
100% |
771
14.2 IPS |
|
|
Machine Translation (F16)
|
99% |
897
16.5 IPS |
|
|
Machine Translation (I8)
|
99% |
757
13.9 IPS |
