iPhone 14
Geekbench ML Score
1903
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 31 2024 07:48 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% |
910
170.2 IPS |
|
|
Image Classification (I8)
|
99% |
911
170.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
627
10.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
563
9.40 IPS |
|
|
Image Segmentation (I8)
|
100% |
544
9.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
5329
6.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
9662
11.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
9534
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
1022
76.3 IPS |
|
|
Object Detection (F16)
|
100% |
1062
79.3 IPS |
|
|
Object Detection (I8)
|
97% |
1032
77.0 IPS |
|
|
Face Detection (F32)
|
100% |
1721
20.5 IPS |
|
|
Face Detection (F16)
|
100% |
1558
18.5 IPS |
|
|
Face Detection (I8)
|
99% |
1543
18.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3195
24.8 IPS |
|
|
Depth Estimation (F16)
|
99% |
3598
27.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
3591
27.8 IPS |
|
|
Style Transfer (F32)
|
100% |
9703
12.8 IPS |
|
|
Style Transfer (F16)
|
100% |
11437
15.0 IPS |
|
|
Style Transfer (I8)
|
100% |
11512
15.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2383
85.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2540
90.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2545
90.9 IPS |
|
|
Text Classification (F32)
|
100% |
993
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
464
666.9 IPS |
|
|
Text Classification (I8)
|
96% |
620
890.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1349
24.8 IPS |
|
|
Machine Translation (F16)
|
99% |
1710
31.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1319
24.3 IPS |
