iPhone 15 Pro
Geekbench ML Score
4025
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 07 2024 08:18 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1700
318.2 IPS |
|
|
Image Classification (F16)
|
100% |
2168
405.7 IPS |
|
|
Image Classification (I8)
|
99% |
2171
406.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
920
15.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
856
14.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
860
14.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
7279
8.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
15973
19.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
15807
19.1 IPS |
|
|
Object Detection (F32)
|
100% |
1643
122.7 IPS |
|
|
Object Detection (F16)
|
100% |
2274
169.7 IPS |
|
|
Object Detection (I8)
|
97% |
1644
122.7 IPS |
|
|
Face Detection (F32)
|
100% |
2864
34.1 IPS |
|
|
Face Detection (F16)
|
97% |
4762
56.6 IPS |
|
|
Face Detection (I8)
|
97% |
4748
56.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6232
48.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9719
75.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
9673
75.0 IPS |
|
|
Style Transfer (F32)
|
100% |
20115
26.5 IPS |
|
|
Style Transfer (F16)
|
100% |
30371
39.9 IPS |
|
|
Style Transfer (I8)
|
100% |
30120
39.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5166
184.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5957
212.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5908
211.0 IPS |
|
|
Text Classification (F32)
|
100% |
2929
4.21 KIPS |
|
|
Text Classification (F16)
|
100% |
4836
6.95 KIPS |
|
|
Text Classification (I8)
|
96% |
4807
6.91 KIPS |
|
|
Machine Translation (F32)
|
100% |
1300
23.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1582
29.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1280
23.5 IPS |
