iPhone 14
Geekbench ML Score
1829
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 22 2024 05:30 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% |
853
159.6 IPS |
|
|
Image Classification (F16)
|
100% |
819
153.3 IPS |
|
|
Image Classification (I8)
|
99% |
800
149.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
548
9.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
497
8.31 IPS |
|
|
Image Segmentation (I8)
|
100% |
498
8.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
5052
6.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
9425
11.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
9207
11.1 IPS |
|
|
Object Detection (F32)
|
100% |
978
73.0 IPS |
|
|
Object Detection (F16)
|
100% |
987
73.7 IPS |
|
|
Object Detection (I8)
|
97% |
982
73.3 IPS |
|
|
Face Detection (F32)
|
100% |
1704
20.3 IPS |
|
|
Face Detection (F16)
|
100% |
1488
17.7 IPS |
|
|
Face Detection (I8)
|
99% |
1480
17.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3132
24.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
3529
27.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
3656
28.3 IPS |
|
|
Style Transfer (F32)
|
100% |
9764
12.8 IPS |
|
|
Style Transfer (F16)
|
100% |
11302
14.9 IPS |
|
|
Style Transfer (I8)
|
100% |
11262
14.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2389
85.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2560
91.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2532
90.4 IPS |
|
|
Text Classification (F32)
|
100% |
1006
1.45 KIPS |
|
|
Text Classification (F16)
|
100% |
465
668.8 IPS |
|
|
Text Classification (I8)
|
96% |
621
892.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1297
23.9 IPS |
|
|
Machine Translation (F16)
|
99% |
1647
30.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1304
24.0 IPS |
