iPhone 14 Pro
Geekbench ML Score
2178
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 23 2024 09:01 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3 |
| 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 | 5.52 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1223
228.9 IPS |
|
|
Image Classification (F16)
|
100% |
1106
206.9 IPS |
|
|
Image Classification (I8)
|
99% |
1105
206.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
567
9.48 IPS |
|
|
Image Segmentation (F16)
|
100% |
506
8.45 IPS |
|
|
Image Segmentation (I8)
|
100% |
507
8.47 IPS |
|
|
Pose Estimation (F32)
|
100% |
6100
7.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
12228
14.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
12184
14.8 IPS |
|
|
Object Detection (F32)
|
100% |
1265
94.5 IPS |
|
|
Object Detection (F16)
|
100% |
1236
92.3 IPS |
|
|
Object Detection (I8)
|
97% |
1267
94.6 IPS |
|
|
Face Detection (F32)
|
100% |
2283
27.1 IPS |
|
|
Face Detection (F16)
|
100% |
1951
23.2 IPS |
|
|
Face Detection (I8)
|
99% |
1930
22.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4167
32.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
4410
34.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
4416
34.2 IPS |
|
|
Style Transfer (F32)
|
100% |
11526
15.2 IPS |
|
|
Style Transfer (F16)
|
100% |
13507
17.8 IPS |
|
|
Style Transfer (I8)
|
100% |
13560
17.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3440
122.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3068
109.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3081
110.0 IPS |
|
|
Text Classification (F32)
|
100% |
1267
1.82 KIPS |
|
|
Text Classification (F16)
|
100% |
826
1.19 KIPS |
|
|
Text Classification (I8)
|
96% |
823
1.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
923
17.0 IPS |
|
|
Machine Translation (F16)
|
99% |
1026
18.9 IPS |
|
|
Machine Translation (I8)
|
99% |
913
16.8 IPS |
