iPhone 14 Pro
Geekbench ML Score
3554
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 19 2024 09:26 AM |
| Views | 1 |
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% |
1440
269.4 IPS |
|
|
Image Classification (F16)
|
100% |
1877
351.3 IPS |
|
|
Image Classification (I8)
|
99% |
1875
350.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
799
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
803
13.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
799
13.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6362
7.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
14081
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14148
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1449
108.2 IPS |
|
|
Object Detection (F16)
|
100% |
2000
149.3 IPS |
|
|
Object Detection (I8)
|
97% |
1453
108.5 IPS |
|
|
Face Detection (F32)
|
100% |
2778
33.0 IPS |
|
|
Face Detection (F16)
|
97% |
4409
52.4 IPS |
|
|
Face Detection (I8)
|
97% |
4404
52.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5684
44.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
8671
67.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
8657
67.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17289
22.7 IPS |
|
|
Style Transfer (F16)
|
100% |
26320
34.6 IPS |
|
|
Style Transfer (I8)
|
100% |
26433
34.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4046
144.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4991
178.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4928
176.0 IPS |
|
|
Text Classification (F32)
|
100% |
2392
3.44 KIPS |
|
|
Text Classification (F16)
|
100% |
3974
5.71 KIPS |
|
|
Text Classification (I8)
|
96% |
3952
5.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
1227
22.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1563
28.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1216
22.4 IPS |
