iPhone 15 Pro
Geekbench ML Score
4125
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 05:05 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1722
322.3 IPS |
|
|
Image Classification (F16)
|
100% |
2167
405.6 IPS |
|
|
Image Classification (I8)
|
99% |
2194
410.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
945
15.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
880
14.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
925
15.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
7848
9.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
16439
19.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
16447
19.9 IPS |
|
|
Object Detection (F32)
|
100% |
1657
123.7 IPS |
|
|
Object Detection (F16)
|
100% |
2268
169.3 IPS |
|
|
Object Detection (I8)
|
97% |
1660
123.9 IPS |
|
|
Face Detection (F32)
|
100% |
2941
35.0 IPS |
|
|
Face Detection (F16)
|
97% |
4865
57.8 IPS |
|
|
Face Detection (I8)
|
97% |
4895
58.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
6529
50.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
9749
75.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
9760
75.7 IPS |
|
|
Style Transfer (F32)
|
100% |
20677
27.2 IPS |
|
|
Style Transfer (F16)
|
100% |
30482
40.1 IPS |
|
|
Style Transfer (I8)
|
100% |
30322
39.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5244
187.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6019
215.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6449
230.3 IPS |
|
|
Text Classification (F32)
|
100% |
2969
4.27 KIPS |
|
|
Text Classification (F16)
|
100% |
4851
6.97 KIPS |
|
|
Text Classification (I8)
|
96% |
4814
6.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
1353
24.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1654
30.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1332
24.5 IPS |
