iPhone 14 Plus
Geekbench ML Score
1726
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 15 2024 11:58 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.3 |
| Model | iPhone 14 Plus |
| Model ID | iPhone14,8 |
| Motherboard | D28AP |
| 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
884
165.3 IPS |
|
|
Image Classification (F16)
|
100% |
870
162.7 IPS |
|
|
Image Classification (I8)
|
99% |
839
157.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
471
7.87 IPS |
|
|
Image Segmentation (F16)
|
100% |
446
7.46 IPS |
|
|
Image Segmentation (I8)
|
100% |
447
7.47 IPS |
|
|
Pose Estimation (F32)
|
100% |
4334
5.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
10156
12.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
9988
12.1 IPS |
|
|
Object Detection (F32)
|
100% |
936
69.9 IPS |
|
|
Object Detection (F16)
|
100% |
1007
75.2 IPS |
|
|
Object Detection (I8)
|
97% |
938
70.0 IPS |
|
|
Face Detection (F32)
|
100% |
1620
19.3 IPS |
|
|
Face Detection (F16)
|
100% |
1433
17.0 IPS |
|
|
Face Detection (I8)
|
99% |
1438
17.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
3004
23.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
3673
28.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
3662
28.4 IPS |
|
|
Style Transfer (F32)
|
100% |
10185
13.4 IPS |
|
|
Style Transfer (F16)
|
100% |
11710
15.4 IPS |
|
|
Style Transfer (I8)
|
100% |
11633
15.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2954
105.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2509
89.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2532
90.4 IPS |
|
|
Text Classification (F32)
|
100% |
976
1.40 KIPS |
|
|
Text Classification (F16)
|
100% |
584
839.5 IPS |
|
|
Text Classification (I8)
|
96% |
585
840.2 IPS |
|
|
Machine Translation (F32)
|
100% |
754
13.9 IPS |
|
|
Machine Translation (F16)
|
99% |
851
15.7 IPS |
|
|
Machine Translation (I8)
|
99% |
738
13.6 IPS |
