iPhone 15 Pro
Geekbench ML Score
3653
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 11:33 PM |
| 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% |
1609
301.0 IPS |
|
|
Image Classification (F16)
|
100% |
1445
270.5 IPS |
|
|
Image Classification (I8)
|
99% |
1788
334.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1529
25.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1636
27.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1632
27.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
14573
17.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
15505
18.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
15314
18.5 IPS |
|
|
Object Detection (F32)
|
100% |
1453
108.5 IPS |
|
|
Object Detection (F16)
|
100% |
1506
112.4 IPS |
|
|
Object Detection (I8)
|
97% |
1727
129.0 IPS |
|
|
Face Detection (F32)
|
100% |
6537
77.7 IPS |
|
|
Face Detection (F16)
|
98% |
8455
100.5 IPS |
|
|
Face Detection (I8)
|
97% |
8599
102.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
12263
95.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
13747
106.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
12700
98.5 IPS |
|
|
Style Transfer (F32)
|
100% |
28096
37.0 IPS |
|
|
Style Transfer (F16)
|
100% |
35793
47.1 IPS |
|
|
Style Transfer (I8)
|
100% |
36082
47.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6879
245.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7596
271.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6723
240.1 IPS |
|
|
Text Classification (F32)
|
100% |
447
642.0 IPS |
|
|
Text Classification (F16)
|
100% |
481
690.7 IPS |
|
|
Text Classification (I8)
|
96% |
300
430.9 IPS |
|
|
Machine Translation (F32)
|
100% |
759
14.0 IPS |
|
|
Machine Translation (F16)
|
100% |
789
14.5 IPS |
|
|
Machine Translation (I8)
|
99% |
684
12.6 IPS |
