iPhone 15 Pro
Geekbench ML Score
4096
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 08:25 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% |
1737
325.0 IPS |
|
|
Image Classification (F16)
|
100% |
2184
408.7 IPS |
|
|
Image Classification (I8)
|
99% |
2156
403.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
935
15.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
893
14.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
899
15.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
7760
9.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
16462
19.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
16486
20.0 IPS |
|
|
Object Detection (F32)
|
100% |
1670
124.6 IPS |
|
|
Object Detection (F16)
|
100% |
2279
170.1 IPS |
|
|
Object Detection (I8)
|
97% |
1671
124.7 IPS |
|
|
Face Detection (F32)
|
100% |
2906
34.6 IPS |
|
|
Face Detection (F16)
|
97% |
4830
57.4 IPS |
|
|
Face Detection (I8)
|
97% |
4832
57.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6394
49.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
9780
75.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
9803
76.0 IPS |
|
|
Style Transfer (F32)
|
100% |
20589
27.1 IPS |
|
|
Style Transfer (F16)
|
100% |
30218
39.7 IPS |
|
|
Style Transfer (I8)
|
100% |
30035
39.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5203
185.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5936
212.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5919
211.4 IPS |
|
|
Text Classification (F32)
|
100% |
2937
4.22 KIPS |
|
|
Text Classification (F16)
|
100% |
4811
6.91 KIPS |
|
|
Text Classification (I8)
|
96% |
4812
6.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
1353
24.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1656
30.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1327
24.4 IPS |
