iPhone 15 Pro
Geekbench ML Score
4645
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 18 2025 07:12 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1694
317.0 IPS |
|
|
Image Classification (F16)
|
100% |
2967
555.2 IPS |
|
|
Image Classification (I8)
|
99% |
2963
554.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
994
16.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1253
20.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1250
20.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
8354
10.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
17200
20.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
17203
20.8 IPS |
|
|
Object Detection (F32)
|
100% |
1655
123.6 IPS |
|
|
Object Detection (F16)
|
100% |
2771
206.9 IPS |
|
|
Object Detection (I8)
|
97% |
1650
123.2 IPS |
|
|
Face Detection (F32)
|
100% |
3154
37.5 IPS |
|
|
Face Detection (F16)
|
97% |
6545
77.8 IPS |
|
|
Face Detection (I8)
|
97% |
6546
77.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
7202
55.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
12916
100.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
13003
100.8 IPS |
|
|
Style Transfer (F32)
|
100% |
22183
29.2 IPS |
|
|
Style Transfer (F16)
|
100% |
34547
45.4 IPS |
|
|
Style Transfer (I8)
|
100% |
34602
45.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5413
193.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6111
218.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6068
216.7 IPS |
|
|
Text Classification (F32)
|
100% |
3005
4.32 KIPS |
|
|
Text Classification (F16)
|
100% |
5220
7.50 KIPS |
|
|
Text Classification (I8)
|
96% |
5183
7.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
1393
25.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1776
32.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1352
24.9 IPS |
