iPhone 14 Pro
Geekbench ML Score
2747
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 26 2024 05:35 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% |
1208
226.1 IPS |
|
|
Image Classification (F16)
|
100% |
1294
242.2 IPS |
|
|
Image Classification (I8)
|
99% |
1509
282.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1208
20.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1284
21.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1253
20.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
11215
13.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
12150
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
11954
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
1417
105.8 IPS |
|
|
Object Detection (F16)
|
100% |
1425
106.4 IPS |
|
|
Object Detection (I8)
|
97% |
1414
105.5 IPS |
|
|
Face Detection (F32)
|
100% |
5017
59.7 IPS |
|
|
Face Detection (F16)
|
98% |
5431
64.6 IPS |
|
|
Face Detection (I8)
|
97% |
5468
65.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
8778
68.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
9165
71.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
8501
65.9 IPS |
|
|
Style Transfer (F32)
|
100% |
21119
27.8 IPS |
|
|
Style Transfer (F16)
|
100% |
22720
29.9 IPS |
|
|
Style Transfer (I8)
|
100% |
23407
30.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4333
154.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4739
169.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4253
151.9 IPS |
|
|
Text Classification (F32)
|
100% |
360
518.1 IPS |
|
|
Text Classification (F16)
|
100% |
368
528.7 IPS |
|
|
Text Classification (I8)
|
96% |
230
330.5 IPS |
|
|
Machine Translation (F32)
|
100% |
605
11.1 IPS |
|
|
Machine Translation (F16)
|
100% |
638
11.7 IPS |
|
|
Machine Translation (I8)
|
99% |
587
10.8 IPS |
