iPhone 15 Pro
Geekbench ML Score
3953
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 27 2024 08:23 AM |
| 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% |
1627
304.4 IPS |
|
|
Image Classification (F16)
|
100% |
2114
395.6 IPS |
|
|
Image Classification (I8)
|
99% |
2131
398.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
885
14.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
852
14.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
859
14.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
7071
8.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
14871
18.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
15210
18.4 IPS |
|
|
Object Detection (F32)
|
100% |
1591
118.8 IPS |
|
|
Object Detection (F16)
|
100% |
2221
165.8 IPS |
|
|
Object Detection (I8)
|
97% |
1606
119.9 IPS |
|
|
Face Detection (F32)
|
100% |
2812
33.4 IPS |
|
|
Face Detection (F16)
|
97% |
4646
55.2 IPS |
|
|
Face Detection (I8)
|
97% |
4595
54.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5947
46.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
9325
72.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
9366
72.6 IPS |
|
|
Style Transfer (F32)
|
100% |
19877
26.1 IPS |
|
|
Style Transfer (F16)
|
100% |
29687
39.1 IPS |
|
|
Style Transfer (I8)
|
100% |
30386
40.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4949
176.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5979
213.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6410
228.9 IPS |
|
|
Text Classification (F32)
|
100% |
2967
4.26 KIPS |
|
|
Text Classification (F16)
|
100% |
4790
6.88 KIPS |
|
|
Text Classification (I8)
|
96% |
4802
6.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
1293
23.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1578
29.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1278
23.5 IPS |
