iPhone 14
Geekbench ML Score
1853
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 03:19 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% |
948
177.4 IPS |
|
|
Image Classification (F16)
|
100% |
903
169.0 IPS |
|
|
Image Classification (I8)
|
99% |
914
171.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
591
9.86 IPS |
|
|
Image Segmentation (F16)
|
100% |
525
8.76 IPS |
|
|
Image Segmentation (I8)
|
100% |
518
8.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
5103
6.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
9418
11.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
9288
11.2 IPS |
|
|
Object Detection (F32)
|
100% |
1023
76.4 IPS |
|
|
Object Detection (F16)
|
100% |
1025
76.5 IPS |
|
|
Object Detection (I8)
|
97% |
1009
75.3 IPS |
|
|
Face Detection (F32)
|
100% |
1677
19.9 IPS |
|
|
Face Detection (F16)
|
100% |
1491
17.7 IPS |
|
|
Face Detection (I8)
|
99% |
1492
17.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3106
24.1 IPS |
|
|
Depth Estimation (F16)
|
99% |
3445
26.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
3437
26.7 IPS |
|
|
Style Transfer (F32)
|
100% |
9439
12.4 IPS |
|
|
Style Transfer (F16)
|
100% |
10906
14.3 IPS |
|
|
Style Transfer (I8)
|
100% |
10975
14.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2320
82.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2545
90.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2536
90.6 IPS |
|
|
Text Classification (F32)
|
100% |
997
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
463
665.5 IPS |
|
|
Text Classification (I8)
|
96% |
637
915.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1300
23.9 IPS |
|
|
Machine Translation (F16)
|
99% |
1649
30.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1262
23.2 IPS |
