iPhone 14
Geekbench ML Score
1826
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 26 2024 06:39 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% |
947
177.1 IPS |
|
|
Image Classification (F16)
|
100% |
902
168.8 IPS |
|
|
Image Classification (I8)
|
99% |
879
164.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
586
9.79 IPS |
|
|
Image Segmentation (F16)
|
100% |
512
8.55 IPS |
|
|
Image Segmentation (I8)
|
100% |
513
8.57 IPS |
|
|
Pose Estimation (F32)
|
100% |
4954
6.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
9505
11.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
9116
11.0 IPS |
|
|
Object Detection (F32)
|
100% |
977
72.9 IPS |
|
|
Object Detection (F16)
|
100% |
1018
76.0 IPS |
|
|
Object Detection (I8)
|
97% |
1000
74.7 IPS |
|
|
Face Detection (F32)
|
100% |
1624
19.3 IPS |
|
|
Face Detection (F16)
|
100% |
1463
17.4 IPS |
|
|
Face Detection (I8)
|
99% |
1459
17.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3034
23.5 IPS |
|
|
Depth Estimation (F16)
|
99% |
3430
26.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
3339
25.9 IPS |
|
|
Style Transfer (F32)
|
100% |
9229
12.1 IPS |
|
|
Style Transfer (F16)
|
100% |
10750
14.1 IPS |
|
|
Style Transfer (I8)
|
100% |
10570
13.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2278
81.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2521
90.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2485
88.8 IPS |
|
|
Text Classification (F32)
|
100% |
992
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
477
685.6 IPS |
|
|
Text Classification (I8)
|
96% |
634
911.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1277
23.5 IPS |
|
|
Machine Translation (F16)
|
99% |
1637
30.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1270
23.4 IPS |
