iPhone 14 Pro
Geekbench ML Score
3886
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | adamtemp64 |
| Upload Date | July 18 2024 09:27 PM |
| Views | 3 |
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% |
1408
263.5 IPS |
|
|
Image Classification (F16)
|
100% |
2485
465.1 IPS |
|
|
Image Classification (I8)
|
99% |
2472
462.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
873
14.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1116
18.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1126
18.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6877
8.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
14549
17.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
11377
13.8 IPS |
|
|
Object Detection (F32)
|
100% |
1104
82.4 IPS |
|
|
Object Detection (F16)
|
100% |
1856
138.5 IPS |
|
|
Object Detection (I8)
|
97% |
1453
108.5 IPS |
|
|
Face Detection (F32)
|
100% |
2852
33.9 IPS |
|
|
Face Detection (F16)
|
97% |
5760
68.5 IPS |
|
|
Face Detection (I8)
|
97% |
5754
68.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6128
47.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
12107
93.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
12073
93.6 IPS |
|
|
Style Transfer (F32)
|
100% |
18560
24.4 IPS |
|
|
Style Transfer (F16)
|
100% |
27649
36.4 IPS |
|
|
Style Transfer (I8)
|
100% |
27976
36.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4345
155.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5019
179.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4978
177.8 IPS |
|
|
Text Classification (F32)
|
100% |
2350
3.38 KIPS |
|
|
Text Classification (F16)
|
100% |
4053
5.82 KIPS |
|
|
Text Classification (I8)
|
96% |
4047
5.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
1354
24.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1614
29.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1359
25.0 IPS |
