iPhone 14
Geekbench ML Score
1781
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 18 2024 08:06 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% |
912
170.6 IPS |
|
|
Image Classification (F16)
|
100% |
847
158.6 IPS |
|
|
Image Classification (I8)
|
99% |
845
158.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
552
9.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
499
8.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
492
8.22 IPS |
|
|
Pose Estimation (F32)
|
100% |
4855
5.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
9272
11.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
8687
10.5 IPS |
|
|
Object Detection (F32)
|
100% |
958
71.5 IPS |
|
|
Object Detection (F16)
|
100% |
968
72.3 IPS |
|
|
Object Detection (I8)
|
97% |
955
71.3 IPS |
|
|
Face Detection (F32)
|
100% |
1640
19.5 IPS |
|
|
Face Detection (F16)
|
100% |
1423
16.9 IPS |
|
|
Face Detection (I8)
|
99% |
1414
16.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2985
23.2 IPS |
|
|
Depth Estimation (F16)
|
99% |
3370
26.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
3269
25.4 IPS |
|
|
Style Transfer (F32)
|
100% |
9029
11.9 IPS |
|
|
Style Transfer (F16)
|
100% |
10627
14.0 IPS |
|
|
Style Transfer (I8)
|
100% |
10541
13.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2247
80.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2440
87.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2456
87.7 IPS |
|
|
Text Classification (F32)
|
100% |
994
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
462
664.6 IPS |
|
|
Text Classification (I8)
|
96% |
632
908.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1268
23.3 IPS |
|
|
Machine Translation (F16)
|
99% |
1599
29.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1243
22.9 IPS |
