iPhone 14
Geekbench ML Score
1857
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 02 2025 03:05 PM |
| Views | 5 |
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% |
932
174.5 IPS |
|
|
Image Classification (F16)
|
100% |
891
166.8 IPS |
|
|
Image Classification (I8)
|
99% |
869
162.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
577
9.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
515
8.61 IPS |
|
|
Image Segmentation (I8)
|
100% |
515
8.60 IPS |
|
|
Pose Estimation (F32)
|
100% |
5075
6.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
9402
11.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
9210
11.2 IPS |
|
|
Object Detection (F32)
|
100% |
985
73.6 IPS |
|
|
Object Detection (F16)
|
100% |
1002
74.8 IPS |
|
|
Object Detection (I8)
|
97% |
997
74.4 IPS |
|
|
Face Detection (F32)
|
100% |
1726
20.5 IPS |
|
|
Face Detection (F16)
|
100% |
1509
17.9 IPS |
|
|
Face Detection (I8)
|
99% |
1490
17.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3195
24.8 IPS |
|
|
Depth Estimation (F16)
|
99% |
3607
28.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
3472
26.9 IPS |
|
|
Style Transfer (F32)
|
100% |
9464
12.4 IPS |
|
|
Style Transfer (F16)
|
100% |
11142
14.7 IPS |
|
|
Style Transfer (I8)
|
100% |
11157
14.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2311
82.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2527
90.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2563
91.5 IPS |
|
|
Text Classification (F32)
|
100% |
1008
1.45 KIPS |
|
|
Text Classification (F16)
|
100% |
479
688.4 IPS |
|
|
Text Classification (I8)
|
96% |
646
928.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1321
24.3 IPS |
|
|
Machine Translation (F16)
|
99% |
1687
31.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1298
23.9 IPS |
