iPhone 14
Geekbench ML Score
1890
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 17 2024 04:56 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3.1 |
| Model | iPhone 14 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| 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 | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
943
176.4 IPS |
|
|
Image Classification (F16)
|
100% |
909
170.2 IPS |
|
|
Image Classification (I8)
|
99% |
903
168.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
612
10.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
548
9.15 IPS |
|
|
Image Segmentation (I8)
|
100% |
528
8.82 IPS |
|
|
Pose Estimation (F32)
|
100% |
5193
6.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
9552
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9385
11.4 IPS |
|
|
Object Detection (F32)
|
100% |
1015
75.8 IPS |
|
|
Object Detection (F16)
|
100% |
1021
76.2 IPS |
|
|
Object Detection (I8)
|
97% |
994
74.2 IPS |
|
|
Face Detection (F32)
|
100% |
1766
21.0 IPS |
|
|
Face Detection (F16)
|
100% |
1537
18.3 IPS |
|
|
Face Detection (I8)
|
99% |
1526
18.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
3158
24.5 IPS |
|
|
Depth Estimation (F16)
|
99% |
3582
27.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
3520
27.3 IPS |
|
|
Style Transfer (F32)
|
100% |
9706
12.8 IPS |
|
|
Style Transfer (F16)
|
100% |
11515
15.1 IPS |
|
|
Style Transfer (I8)
|
100% |
11363
14.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2345
83.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2541
90.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2545
90.9 IPS |
|
|
Text Classification (F32)
|
100% |
998
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
486
698.5 IPS |
|
|
Text Classification (I8)
|
96% |
640
920.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1333
24.5 IPS |
|
|
Machine Translation (F16)
|
99% |
1717
31.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1328
24.4 IPS |
