iPhone 15 Pro
Geekbench ML Score
2556
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 16 2024 02:19 AM |
| 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% |
1463
273.8 IPS |
|
|
Image Classification (F16)
|
100% |
1251
234.1 IPS |
|
|
Image Classification (I8)
|
99% |
1254
234.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
667
11.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
595
9.94 IPS |
|
|
Image Segmentation (I8)
|
100% |
595
9.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
7766
9.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
14079
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14113
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1459
108.9 IPS |
|
|
Object Detection (F16)
|
100% |
1415
105.6 IPS |
|
|
Object Detection (I8)
|
97% |
1465
109.3 IPS |
|
|
Face Detection (F32)
|
100% |
2441
29.0 IPS |
|
|
Face Detection (F16)
|
100% |
2133
25.4 IPS |
|
|
Face Detection (I8)
|
99% |
2136
25.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4909
38.1 IPS |
|
|
Depth Estimation (F16)
|
99% |
5045
39.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
5043
39.1 IPS |
|
|
Style Transfer (F32)
|
100% |
13066
17.2 IPS |
|
|
Style Transfer (F16)
|
100% |
15382
20.2 IPS |
|
|
Style Transfer (I8)
|
100% |
15286
20.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4566
163.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3706
132.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3702
132.2 IPS |
|
|
Text Classification (F32)
|
100% |
1701
2.44 KIPS |
|
|
Text Classification (F16)
|
100% |
1064
1.53 KIPS |
|
|
Text Classification (I8)
|
96% |
1064
1.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
1082
19.9 IPS |
|
|
Machine Translation (F16)
|
99% |
1138
21.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1057
19.4 IPS |
