iPhone 15 Pro
Geekbench ML Score
4109
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 29 2024 07:41 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1727
323.1 IPS |
|
|
Image Classification (F16)
|
100% |
2162
404.6 IPS |
|
|
Image Classification (I8)
|
99% |
2160
404.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
907
15.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
880
14.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
870
14.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
7784
9.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
16438
19.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
16427
19.9 IPS |
|
|
Object Detection (F32)
|
100% |
1670
124.7 IPS |
|
|
Object Detection (F16)
|
100% |
2276
169.9 IPS |
|
|
Object Detection (I8)
|
97% |
1666
124.4 IPS |
|
|
Face Detection (F32)
|
100% |
2946
35.0 IPS |
|
|
Face Detection (F16)
|
97% |
4896
58.2 IPS |
|
|
Face Detection (I8)
|
97% |
4901
58.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6638
51.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
9777
75.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
9752
75.6 IPS |
|
|
Style Transfer (F32)
|
100% |
20748
27.3 IPS |
|
|
Style Transfer (F16)
|
100% |
30099
39.6 IPS |
|
|
Style Transfer (I8)
|
100% |
30209
39.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5284
188.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6051
216.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6009
214.6 IPS |
|
|
Text Classification (F32)
|
100% |
2951
4.24 KIPS |
|
|
Text Classification (F16)
|
100% |
4816
6.92 KIPS |
|
|
Text Classification (I8)
|
96% |
4849
6.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
1372
25.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1672
30.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1355
24.9 IPS |
