iPhone 13
Geekbench ML Score
3579
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 03 2024 06:41 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 3.58 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1320
246.9 IPS |
|
|
Image Classification (F16)
|
100% |
2313
432.8 IPS |
|
|
Image Classification (I8)
|
99% |
2320
434.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
898
15.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1159
19.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1131
18.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5629
6.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
12895
15.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
12805
15.5 IPS |
|
|
Object Detection (F32)
|
100% |
1312
98.0 IPS |
|
|
Object Detection (F16)
|
100% |
2243
167.5 IPS |
|
|
Object Detection (I8)
|
97% |
1311
97.9 IPS |
|
|
Face Detection (F32)
|
100% |
2644
31.4 IPS |
|
|
Face Detection (F16)
|
97% |
5112
60.8 IPS |
|
|
Face Detection (I8)
|
97% |
5057
60.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5110
39.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
10621
82.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
10575
82.0 IPS |
|
|
Style Transfer (F32)
|
100% |
16221
21.3 IPS |
|
|
Style Transfer (F16)
|
100% |
25017
32.9 IPS |
|
|
Style Transfer (I8)
|
100% |
25283
33.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3925
140.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4817
172.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4798
171.4 IPS |
|
|
Text Classification (F32)
|
100% |
2194
3.15 KIPS |
|
|
Text Classification (F16)
|
100% |
3680
5.29 KIPS |
|
|
Text Classification (I8)
|
96% |
3677
5.28 KIPS |
|
|
Machine Translation (F32)
|
100% |
1058
19.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1203
22.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1002
18.4 IPS |
