iPhone 15 Pro
Geekbench ML Score
4057
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 11:34 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1716
321.1 IPS |
|
|
Image Classification (F16)
|
100% |
2144
401.1 IPS |
|
|
Image Classification (I8)
|
99% |
2161
404.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
905
15.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
872
14.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
875
14.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
7477
9.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
16216
19.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
15986
19.4 IPS |
|
|
Object Detection (F32)
|
100% |
1654
123.5 IPS |
|
|
Object Detection (F16)
|
100% |
2274
169.7 IPS |
|
|
Object Detection (I8)
|
97% |
1663
124.2 IPS |
|
|
Face Detection (F32)
|
100% |
2864
34.1 IPS |
|
|
Face Detection (F16)
|
97% |
4774
56.8 IPS |
|
|
Face Detection (I8)
|
97% |
4774
56.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6328
49.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
9716
75.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
9708
75.3 IPS |
|
|
Style Transfer (F32)
|
100% |
20448
26.9 IPS |
|
|
Style Transfer (F16)
|
100% |
30101
39.6 IPS |
|
|
Style Transfer (I8)
|
100% |
30113
39.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5229
186.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6008
214.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5940
212.2 IPS |
|
|
Text Classification (F32)
|
100% |
2930
4.21 KIPS |
|
|
Text Classification (F16)
|
100% |
4862
6.99 KIPS |
|
|
Text Classification (I8)
|
96% |
4814
6.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
1345
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1631
30.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1308
24.1 IPS |
