iPhone 14 Pro
Geekbench ML Score
3560
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 22 2024 11:57 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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
269.7 IPS |
|
|
Image Classification (F16)
|
100% |
1872
350.3 IPS |
|
|
Image Classification (I8)
|
99% |
1866
349.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
802
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
802
13.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
801
13.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6327
7.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
14278
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14090
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1461
109.1 IPS |
|
|
Object Detection (F16)
|
100% |
1984
148.1 IPS |
|
|
Object Detection (I8)
|
97% |
1456
108.7 IPS |
|
|
Face Detection (F32)
|
100% |
2762
32.8 IPS |
|
|
Face Detection (F16)
|
97% |
4406
52.4 IPS |
|
|
Face Detection (I8)
|
97% |
4402
52.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5599
43.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8795
68.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
8646
67.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17418
22.9 IPS |
|
|
Style Transfer (F16)
|
100% |
26278
34.6 IPS |
|
|
Style Transfer (I8)
|
100% |
26408
34.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4027
143.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5214
186.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4986
178.1 IPS |
|
|
Text Classification (F32)
|
100% |
2393
3.44 KIPS |
|
|
Text Classification (F16)
|
100% |
3950
5.68 KIPS |
|
|
Text Classification (I8)
|
96% |
3917
5.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
1233
22.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1550
28.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1231
22.7 IPS |
