iPhone 15 Pro
Geekbench ML Score
4081
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 11:37 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% |
1728
323.3 IPS |
|
|
Image Classification (F16)
|
100% |
2153
402.9 IPS |
|
|
Image Classification (I8)
|
99% |
2164
404.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
918
15.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
875
14.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
871
14.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
7748
9.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
16374
19.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
16427
19.9 IPS |
|
|
Object Detection (F32)
|
100% |
1667
124.5 IPS |
|
|
Object Detection (F16)
|
100% |
2285
170.6 IPS |
|
|
Object Detection (I8)
|
97% |
1663
124.1 IPS |
|
|
Face Detection (F32)
|
100% |
2880
34.2 IPS |
|
|
Face Detection (F16)
|
97% |
4804
57.1 IPS |
|
|
Face Detection (I8)
|
97% |
4794
57.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6481
50.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9746
75.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
9731
75.5 IPS |
|
|
Style Transfer (F32)
|
100% |
20399
26.8 IPS |
|
|
Style Transfer (F16)
|
100% |
30055
39.5 IPS |
|
|
Style Transfer (I8)
|
100% |
30119
39.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5250
187.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5900
210.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5961
212.9 IPS |
|
|
Text Classification (F32)
|
100% |
2932
4.21 KIPS |
|
|
Text Classification (F16)
|
100% |
4816
6.92 KIPS |
|
|
Text Classification (I8)
|
96% |
4841
6.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
1347
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1640
30.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1354
24.9 IPS |
