iPhone 15 Pro
Geekbench ML Score
4103
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 03 2024 05:15 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
1733
324.3 IPS |
|
|
Image Classification (F16)
|
100% |
2168
405.8 IPS |
|
|
Image Classification (I8)
|
99% |
2173
406.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
880
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
880
14.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
872
14.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
8029
9.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
16473
19.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
16452
19.9 IPS |
|
|
Object Detection (F32)
|
100% |
1665
124.3 IPS |
|
|
Object Detection (F16)
|
100% |
2282
170.3 IPS |
|
|
Object Detection (I8)
|
97% |
1655
123.5 IPS |
|
|
Face Detection (F32)
|
100% |
2955
35.1 IPS |
|
|
Face Detection (F16)
|
97% |
4879
58.0 IPS |
|
|
Face Detection (I8)
|
97% |
4887
58.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6651
51.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
9713
75.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
9680
75.1 IPS |
|
|
Style Transfer (F32)
|
100% |
20752
27.3 IPS |
|
|
Style Transfer (F16)
|
100% |
30183
39.7 IPS |
|
|
Style Transfer (I8)
|
100% |
30137
39.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5279
188.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5971
213.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5972
213.3 IPS |
|
|
Text Classification (F32)
|
100% |
2927
4.21 KIPS |
|
|
Text Classification (F16)
|
100% |
4845
6.96 KIPS |
|
|
Text Classification (I8)
|
96% |
4812
6.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
1370
25.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1670
30.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1346
24.8 IPS |
