iPhone 14
Geekbench ML Score
1814
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 06 2024 07:39 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% |
930
174.0 IPS |
|
|
Image Classification (F16)
|
100% |
883
165.2 IPS |
|
|
Image Classification (I8)
|
99% |
876
163.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
568
9.48 IPS |
|
|
Image Segmentation (F16)
|
100% |
513
8.56 IPS |
|
|
Image Segmentation (I8)
|
100% |
502
8.39 IPS |
|
|
Pose Estimation (F32)
|
100% |
4988
6.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
9116
11.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
9102
11.0 IPS |
|
|
Object Detection (F32)
|
100% |
1000
74.7 IPS |
|
|
Object Detection (F16)
|
100% |
981
73.3 IPS |
|
|
Object Detection (I8)
|
97% |
979
73.1 IPS |
|
|
Face Detection (F32)
|
100% |
1627
19.3 IPS |
|
|
Face Detection (F16)
|
100% |
1457
17.3 IPS |
|
|
Face Detection (I8)
|
99% |
1454
17.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3027
23.5 IPS |
|
|
Depth Estimation (F16)
|
99% |
3461
26.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
3323
25.8 IPS |
|
|
Style Transfer (F32)
|
100% |
9125
12.0 IPS |
|
|
Style Transfer (F16)
|
100% |
10666
14.0 IPS |
|
|
Style Transfer (I8)
|
100% |
10713
14.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2296
82.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2465
88.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2483
88.7 IPS |
|
|
Text Classification (F32)
|
100% |
993
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
471
677.3 IPS |
|
|
Text Classification (I8)
|
96% |
640
919.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1273
23.4 IPS |
|
|
Machine Translation (F16)
|
99% |
1639
30.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1264
23.3 IPS |
