iPhone 15 Pro
Geekbench ML Score
4110
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 09:39 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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% |
1729
323.5 IPS |
|
|
Image Classification (F16)
|
100% |
2149
402.1 IPS |
|
|
Image Classification (I8)
|
99% |
2159
404.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
923
15.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
891
14.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
934
15.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
7676
9.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
16485
20.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
16487
20.0 IPS |
|
|
Object Detection (F32)
|
100% |
1670
124.7 IPS |
|
|
Object Detection (F16)
|
100% |
2282
170.4 IPS |
|
|
Object Detection (I8)
|
97% |
1669
124.6 IPS |
|
|
Face Detection (F32)
|
100% |
2935
34.9 IPS |
|
|
Face Detection (F16)
|
97% |
4866
57.9 IPS |
|
|
Face Detection (I8)
|
97% |
4844
57.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6502
50.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
9726
75.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
9757
75.7 IPS |
|
|
Style Transfer (F32)
|
100% |
20756
27.3 IPS |
|
|
Style Transfer (F16)
|
100% |
30321
39.9 IPS |
|
|
Style Transfer (I8)
|
100% |
30361
39.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5244
187.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5978
213.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6092
217.6 IPS |
|
|
Text Classification (F32)
|
100% |
2978
4.28 KIPS |
|
|
Text Classification (F16)
|
100% |
4797
6.89 KIPS |
|
|
Text Classification (I8)
|
96% |
4825
6.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
1361
25.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1645
30.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1332
24.5 IPS |
