iPhone 14
Geekbench ML Score
1856
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 01:21 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% |
929
173.9 IPS |
|
|
Image Classification (F16)
|
100% |
902
168.8 IPS |
|
|
Image Classification (I8)
|
99% |
900
168.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
601
10.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
543
9.07 IPS |
|
|
Image Segmentation (I8)
|
100% |
525
8.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
5162
6.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
9543
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9348
11.3 IPS |
|
|
Object Detection (F32)
|
100% |
992
74.0 IPS |
|
|
Object Detection (F16)
|
100% |
1009
75.4 IPS |
|
|
Object Detection (I8)
|
97% |
999
74.6 IPS |
|
|
Face Detection (F32)
|
100% |
1750
20.8 IPS |
|
|
Face Detection (F16)
|
100% |
1521
18.1 IPS |
|
|
Face Detection (I8)
|
99% |
1506
17.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2927
22.7 IPS |
|
|
Depth Estimation (F16)
|
99% |
3471
26.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
3419
26.5 IPS |
|
|
Style Transfer (F32)
|
100% |
9597
12.6 IPS |
|
|
Style Transfer (F16)
|
100% |
11168
14.7 IPS |
|
|
Style Transfer (I8)
|
100% |
11159
14.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2345
83.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2553
91.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2544
90.9 IPS |
|
|
Text Classification (F32)
|
100% |
980
1.41 KIPS |
|
|
Text Classification (F16)
|
100% |
449
646.0 IPS |
|
|
Text Classification (I8)
|
96% |
593
852.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1336
24.6 IPS |
|
|
Machine Translation (F16)
|
99% |
1677
30.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1307
24.1 IPS |
