iPhone 14
Geekbench ML Score
1820
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 24 2025 08:25 PM |
| Views | 3 |
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% |
925
173.1 IPS |
|
|
Image Classification (F16)
|
100% |
898
168.1 IPS |
|
|
Image Classification (I8)
|
99% |
890
166.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
585
9.77 IPS |
|
|
Image Segmentation (F16)
|
100% |
516
8.63 IPS |
|
|
Image Segmentation (I8)
|
100% |
518
8.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
5110
6.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
9217
11.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
9182
11.1 IPS |
|
|
Object Detection (F32)
|
100% |
980
73.1 IPS |
|
|
Object Detection (F16)
|
100% |
972
72.5 IPS |
|
|
Object Detection (I8)
|
97% |
963
71.9 IPS |
|
|
Face Detection (F32)
|
100% |
1632
19.4 IPS |
|
|
Face Detection (F16)
|
100% |
1416
16.8 IPS |
|
|
Face Detection (I8)
|
99% |
1405
16.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2947
22.9 IPS |
|
|
Depth Estimation (F16)
|
99% |
3398
26.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
3337
25.9 IPS |
|
|
Style Transfer (F32)
|
100% |
9205
12.1 IPS |
|
|
Style Transfer (F16)
|
100% |
10994
14.5 IPS |
|
|
Style Transfer (I8)
|
100% |
10958
14.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2313
82.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2514
89.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2520
90.0 IPS |
|
|
Text Classification (F32)
|
100% |
989
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
458
657.9 IPS |
|
|
Text Classification (I8)
|
96% |
647
929.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1298
23.9 IPS |
|
|
Machine Translation (F16)
|
99% |
1636
30.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1274
23.5 IPS |
