iPhone 14 Pro
Geekbench ML Score
4002
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 08:19 PM |
| Views | 1 |
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% |
1395
261.0 IPS |
|
|
Image Classification (F16)
|
100% |
2464
461.2 IPS |
|
|
Image Classification (I8)
|
99% |
2470
462.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
958
16.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1143
19.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1138
19.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6799
8.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
14383
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14401
17.4 IPS |
|
|
Object Detection (F32)
|
100% |
1439
107.4 IPS |
|
|
Object Detection (F16)
|
100% |
2405
179.6 IPS |
|
|
Object Detection (I8)
|
97% |
1446
107.9 IPS |
|
|
Face Detection (F32)
|
100% |
2908
34.6 IPS |
|
|
Face Detection (F16)
|
97% |
5707
67.9 IPS |
|
|
Face Detection (I8)
|
97% |
5726
68.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6062
47.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
12004
93.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
12003
93.1 IPS |
|
|
Style Transfer (F32)
|
100% |
18471
24.3 IPS |
|
|
Style Transfer (F16)
|
100% |
27379
36.0 IPS |
|
|
Style Transfer (I8)
|
100% |
27239
35.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4334
154.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4980
177.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5025
179.5 IPS |
|
|
Text Classification (F32)
|
100% |
2403
3.45 KIPS |
|
|
Text Classification (F16)
|
100% |
4284
6.16 KIPS |
|
|
Text Classification (I8)
|
96% |
4249
6.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
1353
24.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1602
29.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1341
24.7 IPS |
