iPhone 14 Pro
Geekbench ML Score
3556
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 08:24 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1441
269.6 IPS |
|
|
Image Classification (F16)
|
100% |
1862
348.5 IPS |
|
|
Image Classification (I8)
|
99% |
1880
351.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
795
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
799
13.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
805
13.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6382
7.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
14287
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14237
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1453
108.5 IPS |
|
|
Object Detection (F16)
|
100% |
1990
148.6 IPS |
|
|
Object Detection (I8)
|
97% |
1457
108.8 IPS |
|
|
Face Detection (F32)
|
100% |
2760
32.8 IPS |
|
|
Face Detection (F16)
|
97% |
4404
52.4 IPS |
|
|
Face Detection (I8)
|
97% |
4402
52.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5600
43.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8678
67.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
8674
67.3 IPS |
|
|
Style Transfer (F32)
|
100% |
17321
22.8 IPS |
|
|
Style Transfer (F16)
|
100% |
26510
34.9 IPS |
|
|
Style Transfer (I8)
|
100% |
26422
34.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4020
143.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5018
179.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4998
178.5 IPS |
|
|
Text Classification (F32)
|
100% |
2373
3.41 KIPS |
|
|
Text Classification (F16)
|
100% |
3976
5.71 KIPS |
|
|
Text Classification (I8)
|
96% |
3954
5.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
1234
22.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1559
28.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1217
22.4 IPS |
