iPhone 15 Pro
Geekbench ML Score
4065
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 25 2024 05:16 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% |
1723
322.5 IPS |
|
|
Image Classification (F16)
|
100% |
2111
395.1 IPS |
|
|
Image Classification (I8)
|
99% |
2148
402.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
903
15.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
879
14.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
880
14.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
7297
8.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
16411
19.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
16373
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
1666
124.4 IPS |
|
|
Object Detection (F16)
|
100% |
2256
168.4 IPS |
|
|
Object Detection (I8)
|
97% |
1657
123.7 IPS |
|
|
Face Detection (F32)
|
100% |
2899
34.5 IPS |
|
|
Face Detection (F16)
|
97% |
4832
57.4 IPS |
|
|
Face Detection (I8)
|
97% |
4831
57.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6407
49.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
9760
75.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
9704
75.3 IPS |
|
|
Style Transfer (F32)
|
100% |
20580
27.1 IPS |
|
|
Style Transfer (F16)
|
100% |
30089
39.6 IPS |
|
|
Style Transfer (I8)
|
100% |
30075
39.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5211
186.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5980
213.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5972
213.3 IPS |
|
|
Text Classification (F32)
|
100% |
2941
4.23 KIPS |
|
|
Text Classification (F16)
|
100% |
4808
6.91 KIPS |
|
|
Text Classification (I8)
|
96% |
4804
6.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
1350
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1646
30.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1309
24.1 IPS |
