iPhone 14
Geekbench ML Score
1806
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 27 2025 06:02 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% |
923
172.7 IPS |
|
|
Image Classification (F16)
|
100% |
875
163.7 IPS |
|
|
Image Classification (I8)
|
99% |
865
161.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
576
9.62 IPS |
|
|
Image Segmentation (F16)
|
100% |
509
8.50 IPS |
|
|
Image Segmentation (I8)
|
100% |
504
8.42 IPS |
|
|
Pose Estimation (F32)
|
100% |
4997
6.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
9311
11.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
9161
11.1 IPS |
|
|
Object Detection (F32)
|
100% |
973
72.6 IPS |
|
|
Object Detection (F16)
|
100% |
987
73.7 IPS |
|
|
Object Detection (I8)
|
97% |
972
72.6 IPS |
|
|
Face Detection (F32)
|
100% |
1671
19.9 IPS |
|
|
Face Detection (F16)
|
100% |
1463
17.4 IPS |
|
|
Face Detection (I8)
|
99% |
1458
17.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3009
23.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
3406
26.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
3304
25.6 IPS |
|
|
Style Transfer (F32)
|
100% |
9137
12.0 IPS |
|
|
Style Transfer (F16)
|
100% |
10813
14.2 IPS |
|
|
Style Transfer (I8)
|
100% |
10808
14.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2268
81.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2470
88.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2459
87.8 IPS |
|
|
Text Classification (F32)
|
100% |
974
1.40 KIPS |
|
|
Text Classification (F16)
|
100% |
449
645.0 IPS |
|
|
Text Classification (I8)
|
96% |
586
841.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1292
23.8 IPS |
|
|
Machine Translation (F16)
|
99% |
1649
30.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1266
23.3 IPS |
