iPhone 15 Pro
Geekbench ML Score
3815
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 29 2024 07:49 AM |
| Views | 1 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1640
306.8 IPS |
|
|
Image Classification (F16)
|
100% |
1299
243.1 IPS |
|
|
Image Classification (I8)
|
99% |
1944
363.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1500
25.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1625
27.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1623
27.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
14543
17.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
15368
18.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
15514
18.8 IPS |
|
|
Object Detection (F32)
|
100% |
1703
127.1 IPS |
|
|
Object Detection (F16)
|
100% |
1575
117.6 IPS |
|
|
Object Detection (I8)
|
97% |
1982
148.0 IPS |
|
|
Face Detection (F32)
|
100% |
6577
78.2 IPS |
|
|
Face Detection (F16)
|
98% |
8603
102.3 IPS |
|
|
Face Detection (I8)
|
97% |
8673
103.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
12136
94.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
13716
106.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
12779
99.1 IPS |
|
|
Style Transfer (F32)
|
100% |
28233
37.1 IPS |
|
|
Style Transfer (F16)
|
100% |
34871
45.9 IPS |
|
|
Style Transfer (I8)
|
100% |
36127
47.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6834
244.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6444
230.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7483
267.2 IPS |
|
|
Text Classification (F32)
|
100% |
610
876.1 IPS |
|
|
Text Classification (F16)
|
100% |
645
926.5 IPS |
|
|
Text Classification (I8)
|
96% |
476
684.1 IPS |
|
|
Machine Translation (F32)
|
100% |
738
13.6 IPS |
|
|
Machine Translation (F16)
|
100% |
803
14.8 IPS |
|
|
Machine Translation (I8)
|
99% |
683
12.6 IPS |
