iPhone 15 Pro
Geekbench ML Score
3699
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 04:06 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
1787
334.5 IPS |
|
|
Image Classification (F16)
|
100% |
1569
293.6 IPS |
|
|
Image Classification (I8)
|
99% |
1783
333.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1499
25.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1604
26.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1604
26.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
14695
17.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
15820
19.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
15480
18.7 IPS |
|
|
Object Detection (F32)
|
100% |
1682
125.6 IPS |
|
|
Object Detection (F16)
|
100% |
1546
115.4 IPS |
|
|
Object Detection (I8)
|
97% |
2023
151.1 IPS |
|
|
Face Detection (F32)
|
100% |
6471
76.9 IPS |
|
|
Face Detection (F16)
|
98% |
8249
98.1 IPS |
|
|
Face Detection (I8)
|
97% |
8667
103.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
12315
95.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
13857
107.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
12786
99.2 IPS |
|
|
Style Transfer (F32)
|
100% |
27891
36.7 IPS |
|
|
Style Transfer (F16)
|
100% |
31587
41.6 IPS |
|
|
Style Transfer (I8)
|
100% |
35043
46.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6926
247.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7563
270.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7173
256.2 IPS |
|
|
Text Classification (F32)
|
100% |
441
634.5 IPS |
|
|
Text Classification (F16)
|
100% |
479
688.4 IPS |
|
|
Text Classification (I8)
|
96% |
301
432.9 IPS |
|
|
Machine Translation (F32)
|
100% |
743
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
801
14.7 IPS |
|
|
Machine Translation (I8)
|
99% |
685
12.6 IPS |
