iPhone 14
Geekbench ML Score
1852
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 01 2024 08:07 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% |
950
177.7 IPS |
|
|
Image Classification (F16)
|
100% |
907
169.7 IPS |
|
|
Image Classification (I8)
|
99% |
912
170.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
604
10.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
523
8.73 IPS |
|
|
Image Segmentation (I8)
|
100% |
515
8.60 IPS |
|
|
Pose Estimation (F32)
|
100% |
5212
6.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
9507
11.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
9244
11.2 IPS |
|
|
Object Detection (F32)
|
100% |
1022
76.3 IPS |
|
|
Object Detection (F16)
|
100% |
1038
77.5 IPS |
|
|
Object Detection (I8)
|
97% |
1018
76.0 IPS |
|
|
Face Detection (F32)
|
100% |
1662
19.8 IPS |
|
|
Face Detection (F16)
|
100% |
1483
17.6 IPS |
|
|
Face Detection (I8)
|
99% |
1465
17.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3101
24.0 IPS |
|
|
Depth Estimation (F16)
|
99% |
3516
27.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
3347
26.0 IPS |
|
|
Style Transfer (F32)
|
100% |
9311
12.2 IPS |
|
|
Style Transfer (F16)
|
100% |
10862
14.3 IPS |
|
|
Style Transfer (I8)
|
100% |
10922
14.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2322
82.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2524
90.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2525
90.2 IPS |
|
|
Text Classification (F32)
|
100% |
992
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
464
666.5 IPS |
|
|
Text Classification (I8)
|
96% |
608
874.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1321
24.3 IPS |
|
|
Machine Translation (F16)
|
99% |
1660
30.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1284
23.6 IPS |
