iPhone 15 Pro
Geekbench ML Score
4086
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 06:13 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1663
311.3 IPS |
|
|
Image Classification (F16)
|
100% |
2175
407.0 IPS |
|
|
Image Classification (I8)
|
99% |
2159
404.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
936
15.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
922
15.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
910
15.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
7454
9.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
16146
19.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
16377
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
1653
123.4 IPS |
|
|
Object Detection (F16)
|
100% |
2268
169.3 IPS |
|
|
Object Detection (I8)
|
97% |
1650
123.2 IPS |
|
|
Face Detection (F32)
|
100% |
2886
34.3 IPS |
|
|
Face Detection (F16)
|
97% |
4814
57.2 IPS |
|
|
Face Detection (I8)
|
97% |
4805
57.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6408
49.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
9738
75.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
9756
75.7 IPS |
|
|
Style Transfer (F32)
|
100% |
20602
27.1 IPS |
|
|
Style Transfer (F16)
|
100% |
30090
39.6 IPS |
|
|
Style Transfer (I8)
|
100% |
30277
39.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5175
184.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6035
215.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6116
218.4 IPS |
|
|
Text Classification (F32)
|
100% |
2937
4.22 KIPS |
|
|
Text Classification (F16)
|
100% |
4847
6.97 KIPS |
|
|
Text Classification (I8)
|
96% |
4867
6.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
1343
24.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1638
30.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1317
24.2 IPS |
