iPhone 14 Pro
Geekbench ML Score
2746
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 17 2024 04:31 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1311
245.2 IPS |
|
|
Image Classification (F16)
|
100% |
1212
226.7 IPS |
|
|
Image Classification (I8)
|
99% |
1182
221.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1231
20.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1265
21.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1284
21.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
11243
13.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
12117
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12000
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
1359
101.5 IPS |
|
|
Object Detection (F16)
|
100% |
1427
106.5 IPS |
|
|
Object Detection (I8)
|
97% |
1455
108.7 IPS |
|
|
Face Detection (F32)
|
100% |
5181
61.6 IPS |
|
|
Face Detection (F16)
|
98% |
5494
65.3 IPS |
|
|
Face Detection (I8)
|
97% |
5459
64.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
8501
65.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
9182
71.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
8483
65.8 IPS |
|
|
Style Transfer (F32)
|
100% |
19785
26.0 IPS |
|
|
Style Transfer (F16)
|
100% |
22730
29.9 IPS |
|
|
Style Transfer (I8)
|
100% |
23406
30.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4717
168.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5067
181.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4389
156.7 IPS |
|
|
Text Classification (F32)
|
100% |
358
514.0 IPS |
|
|
Text Classification (F16)
|
100% |
356
511.5 IPS |
|
|
Text Classification (I8)
|
96% |
257
369.7 IPS |
|
|
Machine Translation (F32)
|
100% |
598
11.0 IPS |
|
|
Machine Translation (F16)
|
100% |
632
11.6 IPS |
|
|
Machine Translation (I8)
|
99% |
596
11.0 IPS |
