iPhone 14
Geekbench ML Score
1924
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 01 2025 03:42 PM |
| Views | 6 |
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% |
965
180.5 IPS |
|
|
Image Classification (F16)
|
100% |
908
170.0 IPS |
|
|
Image Classification (I8)
|
99% |
912
170.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
629
10.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
567
9.47 IPS |
|
|
Image Segmentation (I8)
|
100% |
564
9.42 IPS |
|
|
Pose Estimation (F32)
|
100% |
5427
6.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
9624
11.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
9538
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
1019
76.1 IPS |
|
|
Object Detection (F16)
|
100% |
1047
78.2 IPS |
|
|
Object Detection (I8)
|
97% |
1029
76.8 IPS |
|
|
Face Detection (F32)
|
100% |
1761
20.9 IPS |
|
|
Face Detection (F16)
|
100% |
1595
19.0 IPS |
|
|
Face Detection (I8)
|
99% |
1598
19.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
3267
25.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
3675
28.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
3683
28.6 IPS |
|
|
Style Transfer (F32)
|
100% |
9950
13.1 IPS |
|
|
Style Transfer (F16)
|
100% |
11770
15.5 IPS |
|
|
Style Transfer (I8)
|
100% |
11749
15.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2423
86.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2563
91.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2552
91.1 IPS |
|
|
Text Classification (F32)
|
100% |
984
1.41 KIPS |
|
|
Text Classification (F16)
|
100% |
461
662.8 IPS |
|
|
Text Classification (I8)
|
96% |
623
896.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1349
24.8 IPS |
|
|
Machine Translation (F16)
|
99% |
1754
32.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1334
24.5 IPS |
