iPhone 14 Pro
Geekbench ML Score
4044
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 27 2024 01:21 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 14 Pro |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 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% |
1398
261.6 IPS |
|
|
Image Classification (F16)
|
100% |
2501
467.9 IPS |
|
|
Image Classification (I8)
|
99% |
2499
467.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
886
14.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1143
19.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1157
19.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6939
8.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
14879
18.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14678
17.8 IPS |
|
|
Object Detection (F32)
|
100% |
1466
109.5 IPS |
|
|
Object Detection (F16)
|
100% |
2454
183.2 IPS |
|
|
Object Detection (I8)
|
97% |
1465
109.4 IPS |
|
|
Face Detection (F32)
|
100% |
2948
35.1 IPS |
|
|
Face Detection (F16)
|
97% |
5762
68.5 IPS |
|
|
Face Detection (I8)
|
97% |
5799
69.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6193
48.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
12293
95.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
12339
95.7 IPS |
|
|
Style Transfer (F32)
|
100% |
18542
24.4 IPS |
|
|
Style Transfer (F16)
|
100% |
27474
36.1 IPS |
|
|
Style Transfer (I8)
|
100% |
27828
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4411
157.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5105
182.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5061
180.7 IPS |
|
|
Text Classification (F32)
|
100% |
2438
3.50 KIPS |
|
|
Text Classification (F16)
|
100% |
4085
5.87 KIPS |
|
|
Text Classification (I8)
|
96% |
4350
6.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
1368
25.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1621
29.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1371
25.2 IPS |
