iPhone 14
Geekbench ML Score
1834
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 08 2024 05:56 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% |
934
174.8 IPS |
|
|
Image Classification (F16)
|
100% |
902
168.7 IPS |
|
|
Image Classification (I8)
|
99% |
898
168.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
585
9.77 IPS |
|
|
Image Segmentation (F16)
|
100% |
517
8.63 IPS |
|
|
Image Segmentation (I8)
|
100% |
517
8.64 IPS |
|
|
Pose Estimation (F32)
|
100% |
5080
6.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
9467
11.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
9220
11.2 IPS |
|
|
Object Detection (F32)
|
100% |
1013
75.6 IPS |
|
|
Object Detection (F16)
|
100% |
1006
75.1 IPS |
|
|
Object Detection (I8)
|
97% |
998
74.5 IPS |
|
|
Face Detection (F32)
|
100% |
1648
19.6 IPS |
|
|
Face Detection (F16)
|
100% |
1471
17.5 IPS |
|
|
Face Detection (I8)
|
99% |
1465
17.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3058
23.7 IPS |
|
|
Depth Estimation (F16)
|
99% |
3463
26.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
3375
26.2 IPS |
|
|
Style Transfer (F32)
|
100% |
9236
12.1 IPS |
|
|
Style Transfer (F16)
|
100% |
10799
14.2 IPS |
|
|
Style Transfer (I8)
|
100% |
10873
14.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2304
82.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2518
89.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2489
88.9 IPS |
|
|
Text Classification (F32)
|
100% |
994
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
470
676.0 IPS |
|
|
Text Classification (I8)
|
96% |
606
871.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1269
23.3 IPS |
|
|
Machine Translation (F16)
|
99% |
1637
30.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1281
23.6 IPS |
