iPhone 14 Pro
Geekbench ML Score
3550
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 04:44 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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 | 5.50 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1432
268.0 IPS |
|
|
Image Classification (F16)
|
100% |
1852
346.6 IPS |
|
|
Image Classification (I8)
|
99% |
1866
349.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
800
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
797
13.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
799
13.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6238
7.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
14078
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14077
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1448
108.1 IPS |
|
|
Object Detection (F16)
|
100% |
2011
150.1 IPS |
|
|
Object Detection (I8)
|
97% |
1451
108.4 IPS |
|
|
Face Detection (F32)
|
100% |
2763
32.9 IPS |
|
|
Face Detection (F16)
|
97% |
4395
52.3 IPS |
|
|
Face Detection (I8)
|
97% |
4406
52.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5621
43.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
8683
67.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
8738
67.8 IPS |
|
|
Style Transfer (F32)
|
100% |
17323
22.8 IPS |
|
|
Style Transfer (F16)
|
100% |
26375
34.7 IPS |
|
|
Style Transfer (I8)
|
100% |
26401
34.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4061
145.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4925
175.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5026
179.5 IPS |
|
|
Text Classification (F32)
|
100% |
2365
3.40 KIPS |
|
|
Text Classification (F16)
|
100% |
3951
5.68 KIPS |
|
|
Text Classification (I8)
|
96% |
3936
5.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
1249
23.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1547
28.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1243
22.9 IPS |
