iPhone 14
Geekbench ML Score
1818
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 06 2025 09:14 PM |
| Views | 8 |
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% |
963
180.2 IPS |
|
|
Image Classification (F16)
|
100% |
875
163.8 IPS |
|
|
Image Classification (I8)
|
99% |
863
161.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
574
9.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
507
8.47 IPS |
|
|
Image Segmentation (I8)
|
100% |
506
8.45 IPS |
|
|
Pose Estimation (F32)
|
100% |
4988
6.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
9411
11.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
9013
10.9 IPS |
|
|
Object Detection (F32)
|
100% |
988
73.8 IPS |
|
|
Object Detection (F16)
|
100% |
970
72.4 IPS |
|
|
Object Detection (I8)
|
97% |
974
72.7 IPS |
|
|
Face Detection (F32)
|
100% |
1627
19.4 IPS |
|
|
Face Detection (F16)
|
100% |
1462
17.4 IPS |
|
|
Face Detection (I8)
|
99% |
1452
17.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3099
24.0 IPS |
|
|
Depth Estimation (F16)
|
99% |
3448
26.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
3319
25.7 IPS |
|
|
Style Transfer (F32)
|
100% |
9200
12.1 IPS |
|
|
Style Transfer (F16)
|
100% |
10718
14.1 IPS |
|
|
Style Transfer (I8)
|
100% |
10844
14.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2289
81.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2515
89.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2466
88.1 IPS |
|
|
Text Classification (F32)
|
100% |
986
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
463
665.4 IPS |
|
|
Text Classification (I8)
|
96% |
636
914.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1294
23.8 IPS |
|
|
Machine Translation (F16)
|
99% |
1643
30.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1274
23.4 IPS |
