iPhone 15 Pro
Geekbench ML Score
2553
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 21 2023 11:30 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| 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 | 7.50 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1468
274.6 IPS |
|
|
Image Classification (F16)
|
100% |
1251
234.2 IPS |
|
|
Image Classification (I8)
|
99% |
1257
235.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
665
11.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
597
9.98 IPS |
|
|
Image Segmentation (I8)
|
100% |
597
9.97 IPS |
|
|
Pose Estimation (F32)
|
100% |
7573
9.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
14102
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14118
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1473
110.0 IPS |
|
|
Object Detection (F16)
|
100% |
1416
105.7 IPS |
|
|
Object Detection (I8)
|
97% |
1481
110.6 IPS |
|
|
Face Detection (F32)
|
100% |
2425
28.8 IPS |
|
|
Face Detection (F16)
|
100% |
2114
25.1 IPS |
|
|
Face Detection (I8)
|
99% |
2116
25.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4924
38.2 IPS |
|
|
Depth Estimation (F16)
|
99% |
5061
39.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
5065
39.3 IPS |
|
|
Style Transfer (F32)
|
100% |
13067
17.2 IPS |
|
|
Style Transfer (F16)
|
100% |
15354
20.2 IPS |
|
|
Style Transfer (I8)
|
100% |
15434
20.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4556
162.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3685
131.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3705
132.3 IPS |
|
|
Text Classification (F32)
|
100% |
1713
2.46 KIPS |
|
|
Text Classification (F16)
|
100% |
1067
1.53 KIPS |
|
|
Text Classification (I8)
|
96% |
1073
1.54 KIPS |
|
|
Machine Translation (F32)
|
100% |
1067
19.6 IPS |
|
|
Machine Translation (F16)
|
99% |
1125
20.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1040
19.1 IPS |
