iPhone 14 Pro
Geekbench ML Score
5146
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 01:14 PM |
| Views | 1 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1251
234.1 IPS |
|
|
Image Classification (F16)
|
100% |
5437
1.02 KIPS |
|
|
Image Classification (I8)
|
99% |
6027
1.13 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1171
19.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1669
27.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1678
28.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
11426
13.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
78776
95.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
80668
97.7 IPS |
|
|
Object Detection (F32)
|
100% |
1417
105.8 IPS |
|
|
Object Detection (F16)
|
100% |
3907
291.7 IPS |
|
|
Object Detection (I8)
|
97% |
1487
111.0 IPS |
|
|
Face Detection (F32)
|
100% |
5166
61.4 IPS |
|
|
Face Detection (F16)
|
97% |
9956
118.4 IPS |
|
|
Face Detection (I8)
|
96% |
10097
120.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
8870
68.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
35904
278.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
41378
320.9 IPS |
|
|
Style Transfer (F32)
|
100% |
21020
27.7 IPS |
|
|
Style Transfer (F16)
|
100% |
115290
151.7 IPS |
|
|
Style Transfer (I8)
|
100% |
114189
150.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4375
156.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15148
541.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16716
597.0 IPS |
|
|
Text Classification (F32)
|
100% |
367
527.0 IPS |
|
|
Text Classification (F16)
|
100% |
364
522.7 IPS |
|
|
Text Classification (I8)
|
96% |
248
356.5 IPS |
|
|
Machine Translation (F32)
|
100% |
612
11.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1091
20.1 IPS |
|
|
Machine Translation (I8)
|
99% |
593
10.9 IPS |
